2023
Lye, A., Marino, L., Cicirello, A., & Patelli, E. (2023). Sequential Ensemble Monte Carlo Sampler for On-Line Bayesian Inference of Time-Varying Parameter in Engineering Applications. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 9(3). doi:10.1115/1.4056934DOI: 10.1115/1.4056934
Damage modelling of a bridge pier subjected to multiple earthquakes: a comparative study (Journal article)
Turchetti, F., Tubaldi, E., Patelli, E., Castaldo, P., & Malaga-Chuquitaype, C. (2023). Damage modelling of a bridge pier subjected to multiple earthquakes: a comparative study. BULLETIN OF EARTHQUAKE ENGINEERING, 21(9), 4541-4564. doi:10.1007/s10518-023-01678-yDOI: 10.1007/s10518-023-01678-y
Workplace accident analysis in the Algerian oil and gas industry (Journal article)
Zerrouki, H., Ghozlane, M. D. E., Lugo, H. D. E., & Patelli, E. (2023). Workplace accident analysis in the Algerian oil and gas industry. PROCESS SAFETY PROGRESS, 42(2), 328-337. doi:10.1002/prs.12439DOI: 10.1002/prs.12439
Chen, Y., Patelli, E., Edwards, B., & Beer, M. (2023). A physics-informed Bayesian framework for characterizing ground motion process in the presence of missing data. EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS. doi:10.1002/eqe.3877DOI: 10.1002/eqe.3877
de Angelis, M., Gray, A., Ferson, S., & Patelli, E. (2023). Robust online updating of a digital twin with imprecise probability. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 186. doi:10.1016/j.ymssp.2022.109877DOI: 10.1016/j.ymssp.2022.109877
2022
Special Section on Decommissioning and Life Extension of Complex Industrial Assets (Journal article)
Moura, R., Beer, M., de Souza, G. F. M., & Patelli, E. (2022). Special Section on Decommissioning and Life Extension of Complex Industrial Assets. ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART B-MECHANICAL ENGINEERING, 8(4). doi:10.1115/1.4055799DOI: 10.1115/1.4055799
Miralles-Dolz, E., Pearce, A., Morris, J., & Patelli, E. (2022). Toward DEMO Power Plant Concept Selection Under Epistemic Uncertainty. IEEE TRANSACTIONS ON PLASMA SCIENCE, 50(11), 4440-4445. doi:10.1109/TPS.2022.3180233DOI: 10.1109/TPS.2022.3180233
Gray, A., de Angelis, M., Patelli, E., & Ferson, S. (2023). Bivariate dependency tracking in interval arithmetic. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 186. doi:10.1016/j.ymssp.2022.109771DOI: 10.1016/j.ymssp.2022.109771
Lye, A., Prinja, N., & Patelli, E. (2022). Probabilistic Artificial Intelligence Prediction of Material Properties for Nuclear Reactor Designs. In Book of Extended Abstracts for the 32nd European Safety and Reliability Conference. Research Publishing Services. doi:10.3850/978-981-18-5183-4_s24-02-306-cdDOI: 10.3850/978-981-18-5183-4_s24-02-306-cd
Generative Optimisation of Resilient Drone Logistic Networks (Conference Paper)
Filippi, G., Vasile, M., Patelli, E., & Fossati, M. (2022). Generative Optimisation of Resilient Drone Logistic Networks. In 2022 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC). doi:10.1109/CEC55065.2022.9870306DOI: 10.1109/CEC55065.2022.9870306
Gray, A., Ferson, S., Kreinovich, V., & Patelli, E. (2022). Distribution-free risk analysis. International Journal of Approximate Reasoning, 146, 133-156. doi:10.1016/j.ijar.2022.04.001DOI: 10.1016/j.ijar.2022.04.001
Lye, A., Prinja, N., & Patelli, E. (2022). Probabilistic AI for Prediction of Material Properties (PROMAP). Poster session presented at the meeting of Advanced Nuclear Skills and Innovation Campus (ANSIC) Showcase 2022. Preston, United Kingdom. Retrieved from http://dx.doi.org/10.13140/RG.2.2.32427.31527
Lye, A., Cicirello, A., & Patelli, E. (2022). An efficient and robust sampler for Bayesian inference: Transitional Ensemble Markov Chain Monte Carlo. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 167. doi:10.1016/j.ymssp.2021.108471DOI: 10.1016/j.ymssp.2021.108471
Lye, A., Kitahara, M., Broggi, M., & Patelli, E. (2022). Robust optimization of a dynamic Black-box system under severe uncertainty: A distribution-free framework. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 167. doi:10.1016/j.ymssp.2021.108522DOI: 10.1016/j.ymssp.2021.108522
Tubaldi, E., White, C. J., Patelli, E., Mitoulis, S. A., de Almeida, G., Brown, J., . . . Zonta, D. (2022). Invited perspectives: Challenges and future directions in improving bridge flood resilience. NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 22(3), 795-812. doi:10.5194/nhess-22-795-2022DOI: 10.5194/nhess-22-795-2022
Morais, C., Yung, K. L., Johnson, K., Moura, R., Beer, M., & Patelli, E. (2022). Identification of human errors and influencing factors: A machine learning approach. Safety Science, 146, 105528. doi:10.1016/j.ssci.2021.105528DOI: 10.1016/j.ssci.2021.105528
Morais, C., Estrada-Lugo, H. D., Tolo, S., Jacques, T., Moura, R., Beer, M., & Patelli, E. (2022). Robust data-driven human reliability analysis using credal networks. Reliability Engineering & System Safety, 218, 107990. doi:10.1016/j.ress.2021.107990DOI: 10.1016/j.ress.2021.107990
Correlated Boolean Operators for Uncertainty Logic (Chapter)
Miralles-Dolz, E., Gray, A., Patelli, E., & Ferson, S. (2022). Correlated Boolean Operators for Uncertainty Logic. In Information Processing and Management of Uncertainty in Knowledge-Based Systems (pp. 798-811). Springer International Publishing. doi:10.1007/978-3-031-08971-8_64DOI: 10.1007/978-3-031-08971-8_64
Interval-Based Global Sensitivity Analysis for Epistemic Uncertainty (Conference Paper)
Miralles-Dolz, E., Gray, E., Angelis, M. D., & Patelli, E. (2022). Interval-Based Global Sensitivity Analysis for Epistemic Uncertainty. In Book of Extended Abstracts for the 32nd European Safety and Reliability Conference. Research Publishing Services. doi:10.3850/978-981-18-5183-4_s14-04-180-cdDOI: 10.3850/978-981-18-5183-4_s14-04-180-cd
Lye, A., Cicirello, A., & Patelli, E. (2022). On-line Bayesian Model Updating and Model Selection of a Piece-wise model for the Creep-growth rate prediction of a Nuclear component. In 8th International Symposium on Reliability Engineering and Risk Management. Research Publishing Services. doi:10.3850/978-981-18-5184-1_ms-02-208-cdDOI: 10.3850/978-981-18-5184-1_ms-02-208-cd
Agbaje, S., Zhang, X., Ward, D., Dhimitri, L., & Patelli, E. (2022). Spatial variability characteristics of the effective friction angle of Crag deposits and its effects on slope stability. Computers and Geotechnics, 141, 104532. doi:10.1016/j.compgeo.2021.104532DOI: 10.1016/j.compgeo.2021.104532
Time-frequency domain characteristics analysis of a hydro-turbine governor system considering vortex rope excitation (Journal article)
Lei, L., Li, F., Xu, B., Egusquiza, M., Luo, X., Zhang, J., . . . Patelli, E. (2022). Time-frequency domain characteristics analysis of a hydro-turbine governor system considering vortex rope excitation. RENEWABLE ENERGY, 183, 172-187. doi:10.1016/j.renene.2021.10.074DOI: 10.1016/j.renene.2021.10.074
2021
A start-up optimization strategy of a hydroelectric generating system: From a symmetrical structure to asymmetric structure on diversion pipes (Journal article)
Lei, L., Li, F., Kheav, K., Jiang, W., Luo, X., Patelli, E., . . . Chen, D. (2021). A start-up optimization strategy of a hydroelectric generating system: From a symmetrical structure to asymmetric structure on diversion pipes. RENEWABLE ENERGY, 180, 1148-1165. doi:10.1016/j.renene.2021.09.010DOI: 10.1016/j.renene.2021.09.010
Gray, A., Davis, A., & Patelli, E. (2021). Uncertainty Propagation in SINBAD Fusion Benchmarks with Total Monte Carlo and Imprecise Probabilities. FUSION SCIENCE AND TECHNOLOGY, 77(7-8), 802-812. doi:10.1080/15361055.2021.1895667DOI: 10.1080/15361055.2021.1895667
Multi-objective optimization of a hydro-wind-photovoltaic power complementary plant with a vibration avoidance strategy (Journal article)
Xiong, H., Egusquiza, M., Ostergaard, P. A., Perez-Diaz, J. I., Sun, G., Egusquiza, E., . . . Luo, X. (2021). Multi-objective optimization of a hydro-wind-photovoltaic power complementary plant with a vibration avoidance strategy. APPLIED ENERGY, 301. doi:10.1016/j.apenergy.2021.117459DOI: 10.1016/j.apenergy.2021.117459
Tubaldi, E., White, C. J., Patelli, E., Mitoulis, S., de Almeida, G., Brown, J., . . . Zonta, D. (2021). Invited perspectives: challenges and future directions in improving bridge flood resilience. doi:10.5194/nhess-2021-293DOI: 10.5194/nhess-2021-293
Atkinson, S., Gray, A., & Patelli, E. (2021). Developing a Design Optimization Methodology for the Thermal-Hydraulic Evaluation for a High Temperature Reactor During a DLOCA. Journal of Physics: Conference Series, 2048(1), 012033. doi:10.1088/1742-6596/2048/1/012033DOI: 10.1088/1742-6596/2048/1/012033
Lye, A., Cicirello, A., & Patelli, E. (2021). Sampling methods for solving Bayesian model updating problems: A tutorial. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 159. doi:10.1016/j.ymssp.2021.107760DOI: 10.1016/j.ymssp.2021.107760
Multiscale power fluctuation evaluation of a hydro-wind-photovoltaic system (Journal article)
Xiong, H., Xu, B., Kheav, K., Luo, X., Zhang, X., Patelli, E., . . . Chen, D. (2021). Multiscale power fluctuation evaluation of a hydro-wind-photovoltaic system. RENEWABLE ENERGY, 175, 153-166. doi:10.1016/j.renene.2021.04.095DOI: 10.1016/j.renene.2021.04.095
Reliability-Based Design Optimization under Mixed Aleatory/Epistemic Uncertainties: Theory and Applications (Journal article)
Celorrio, L., & Patelli, E. (2021). Reliability-Based Design Optimization under Mixed Aleatory/Epistemic Uncertainties: Theory and Applications. ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING, 7(3). doi:10.1061/AJRUA6.0001147DOI: 10.1061/AJRUA6.0001147
The potential for photovoltaic-powered pumped-hydro systems to reduce emissions, costs, and energy insecurity in rural China (Journal article)
Yang, Z., Sun, G., Behrens, P., ostergaard, P. A., Egusquiza, M., Egusquiza, E., . . . Patelli, E. (2021). The potential for photovoltaic-powered pumped-hydro systems to reduce emissions, costs, and energy insecurity in rural China. ENERGY CONVERSION AND MANAGEMENT-X, 11. doi:10.1016/j.ecmx.2021.100108DOI: 10.1016/j.ecmx.2021.100108
Reliability-Based Analysis and Design of Structures and Infrastructure (Book)
Farsangi, E. N., Noori, M., Gardoni, P., Takewaki, I., Varum, H., & Bogdanovic, A. (n.d.). Reliability-Based Analysis and Design of Structures and Infrastructure. CRC Press. doi:10.1201/9781003194613DOI: 10.1201/9781003194613
Gray, A., De Angelis, M., Ferson, S., & Patelli, E. (2021, May 17). What’s Z−X, when Z = X+Y? Dependency tracking in interval arithmetic with bivariate sets. In 9th International Workshop on Reliable Engineering Computing (REC2021). Virtual (Taormina, Italy).
Zaman, Z. A., & Patelli, E. (2021). A DC Optimal Power Flow Approach to Quantify Operational Resilience in Power Grids. In Unknown Conference (pp. 55-65). Springer International Publishing. doi:10.1007/978-3-030-73616-3_4DOI: 10.1007/978-3-030-73616-3_4
Dynamic Credal Networks for Resilience Assessment of Complex Engineering Systems (Conference Paper)
Estrada-Lugo, H. D., Santhosh, T. V., & Patelli, E. (2021). Dynamic Credal Networks for Resilience Assessment of Complex Engineering Systems. In Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021). Research Publishing Services. doi:10.3850/978-981-18-2016-8_771-cdDOI: 10.3850/978-981-18-2016-8_771-cd
Handling the Uncertainty with Confidence in Human Reliability Analysis (Conference Paper)
Morais, C., Ferson, S., Moura, R., Tolo, S., Beer, M., & Patelli, E. (2021). Handling the Uncertainty with Confidence in Human Reliability Analysis. In Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021). Research Publishing Services. doi:10.3850/978-981-18-2016-8_575-cdDOI: 10.3850/978-981-18-2016-8_575-cd
Lye, A., Gray, A., & Patelli, E. (2021). Identification of Time-varying Parameters using Variational Bayes -- Sequential Ensemble Monte Carlo Sampler. In Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021). Research Publishing Services. doi:10.3850/978-981-18-2016-8_081-cdDOI: 10.3850/978-981-18-2016-8_081-cd
Line Sampling Simulation (Chapter)
Valdebenito, M., De Angelis, M., & Patelli, E. (2021). Line Sampling Simulation. In Reliability-Based Analysis and Design of Structures and Infrastructure. CRC Press.
2020
Machine Learning Approaches for Performance Assessment of Nuclear Fuel Assemblies Subject to Seismic-Induced Impacts (Journal article)
Altieri, D., Robin-Boudaoud, M. -C., Kessler, H., Pellissetti, M., & Patelli, E. (2020). Machine Learning Approaches for Performance Assessment of Nuclear Fuel Assemblies Subject to Seismic-Induced Impacts. ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART B-MECHANICAL ENGINEERING, 6(4). doi:10.1115/1.4046926DOI: 10.1115/1.4046926
A probabilistic metric for the validation of computational models (Journal article)
Dvurecenska, K., Graham, S., Patelli, E., & Patterson, E. (2020). A probabilistic metric for the validation of computational models. Royal Society Open Science, 5(11). doi:10.1098/rsos.180687DOI: 10.1098/rsos.180687
Lye, A., De Angelis, M., & Patelli, E. (2020). Bayesian Regression over Sparse Fatigue Crack Growth Data for Nuclear Piping. Poster session presented at the meeting of Modelling in Nuclear Science and Engineering Seminar 2020. Bangor University. Retrieved from http://dx.doi.org/10.13140/RG.2.2.12347.95528
An efficient approach for computing analytical non-parametric fragility curves (Journal article)
Altieri, D., & Patelli, E. (2020). An efficient approach for computing analytical non-parametric fragility curves. STRUCTURAL SAFETY, 85. doi:10.1016/j.strusafe.2020.101956DOI: 10.1016/j.strusafe.2020.101956
Nieto-Cerezo, O., Wenzelburger, J., Patelli, E., & Beer, M. (2020). Optimal Regulation of the Construction of Reliable Sea Defenses. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 6(2), 04020023. doi:10.1061/ajrua6.0001065DOI: 10.1061/ajrua6.0001065
Chen, Y., Li, T., Zeng, P., Ma, J., Patelli, E., & Edwards, B. (2020). Dynamic and Probabilistic Multi-class Prediction of Tunnel Squeezing Intensity. ROCK MECHANICS AND ROCK ENGINEERING. doi:10.1007/s00603-020-02138-8DOI: 10.1007/s00603-020-02138-8
Rocchetta, R., & Patelli, E. (2020). A post-contingency power flow emulator for generalized probabilistic risks assessment of power grids. RELIABILITY ENGINEERING & SYSTEM SAFETY, 197. doi:10.1016/j.ress.2020.106817DOI: 10.1016/j.ress.2020.106817
Li, H., Xu, B., Arzaghi, E., Abbassi, R., Chen, D., Aggidis, G. A., . . . Patelli, E. (2020). Transient safety assessment and risk mitigation of a hydroelectric generation system. Energy, 196, 117135. doi:10.1016/j.energy.2020.117135DOI: 10.1016/j.energy.2020.117135
Morais, C., Moura, R., Beer, M., & Patelli, E. (2020). Analysis and Estimation of Human Errors From Major Accident Investigation Reports. ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART B-MECHANICAL ENGINEERING, 6(1). doi:10.1115/1.4044796DOI: 10.1115/1.4044796
Sadeghi, J., de Angelis, M., & Patelli, E. (2020). Analytic Probabilistic Safety Analysis under Severe Uncertainty. ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING, 6(1). doi:10.1061/AJRUA6.0001028DOI: 10.1061/AJRUA6.0001028
A Bayesian Network Approach for the Quantitative Assessment of Resilience of Critical Systems (Conference Paper)
Santhosh, T. V., & Patelli, E. (2020). A Bayesian Network Approach for the Quantitative Assessment of Resilience of Critical Systems. In Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference. Research Publishing Services. doi:10.3850/978-981-14-8593-0_3699-cdDOI: 10.3850/978-981-14-8593-0_3699-cd
A Bayesian network approach for the quantitative assessment of resilience of critical systems (Conference Paper)
Santhosh, T. V., & Patelli, E. (2020). A Bayesian network approach for the quantitative assessment of resilience of critical systems. In 30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM 2020 (pp. 1444-1451).
Lye, A., Cicirello, A., & Patelli, E. (2020). A review of stochastic sampling methods for Bayesian inference problems. In Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019 (pp. 1866-1873). doi:10.3850/978-981-11-2724-3-1087-cdDOI: 10.3850/978-981-11-2724-3-1087-cd
Zerrouki, H., Estrada-Lugo, H. D., Smadi, H., & Patelli, E. (2020). Applications of Bayesian networks in chemical and process industries: A review. In Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019 (pp. 3122-3129). doi:10.3850/978-981-11-2724-30914-cdDOI: 10.3850/978-981-11-2724-30914-cd
Lye, A., Cicirello, A., & Patelli, E. (2020). Bayesian Model Updating of Reliability Parameters using Transitional Markov Chain Monte Carlo with Slice Sampling. In Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference. Research Publishing Services. doi:10.3850/978-981-14-8593-0_4374-cdDOI: 10.3850/978-981-14-8593-0_4374-cd
Bayesian model updating of reliability parameters using transitional markov chain monte carlo with slice sampling (Conference Paper)
Lye, A., Cicirello, A., & Patelli, E. (2020). Bayesian model updating of reliability parameters using transitional markov chain monte carlo with slice sampling. In 30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM 2020 (pp. 2750-2757).
Decision Making for Optimal Primary-Support Selection to Minimise Tunnel- Squeezing Risk (Conference Paper)
Chen, Y., Patelli, E., Zeng, P., Edwards, B., Li, T., & Beer, M. (2020). Decision Making for Optimal Primary-Support Selection to Minimise Tunnel- Squeezing Risk. In Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference. Research Publishing Services. doi:10.3850/978-981-14-8593-0_4170-cdDOI: 10.3850/978-981-14-8593-0_4170-cd
Decision making for optimal primary-support selection to minimise tunnel-squeezing risk (Conference Paper)
Chen, Y., Patelli, E., Zeng, P., Edwards, B., Li, T., & Beer, M. (2020). Decision making for optimal primary-support selection to minimise tunnel-squeezing risk. In 30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM 2020 (pp. 2257-2264).
Multi-objective reliability based design of complex engineering structures using response surface methods (Conference Paper)
Celorrio, L., & Patelli, E. (2020). Multi-objective reliability based design of complex engineering structures using response surface methods. In Proceedings of the 6th European Conference on Computational Mechanics: Solids, Structures and Coupled Problems, ECCM 2018 and 7th European Conference on Computational Fluid Dynamics, ECFD 2018 (pp. 4052-4062).
Resilience Assessment of Safety-Critical Systems with Credal Networks (Conference Paper)
Estrada-Lugo, H. D., Santhosh, T. V., Angelis, M. D., & Patelli, E. (2020). Resilience Assessment of Safety-Critical Systems with Credal Networks. In Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference. Research Publishing Services. doi:10.3850/978-981-14-8593-0_4192-cdDOI: 10.3850/978-981-14-8593-0_4192-cd
Resilience in the Context of Nuclear Safety Engineering (Conference Paper)
Yan, R., Tolo, S., Dunnett, S., Andrews, J., & Patelli, E. (2020). Resilience in the Context of Nuclear Safety Engineering. In 2020 ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM (RAMS 2020). doi:10.1109/rams48030.2020.9153717DOI: 10.1109/rams48030.2020.9153717
Robust propagation of probability boxes by interval predictor models (Conference Paper)
Sadeghi, J., de Angelis, M., & Patelli, E. (2020). Robust propagation of probability boxes by interval predictor models. In STRUCTURAL SAFETY Vol. 82. doi:10.1016/j.strusafe.2019.101889DOI: 10.1016/j.strusafe.2019.101889
Tackling the lack of data for human error probability with Credal network (Conference Paper)
Morais, C., Tolo, S., Moura, R., Beer, M., & Patelli, E. (2020). Tackling the lack of data for human error probability with Credal network. In Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019 (pp. 382-386). doi:10.3850/978-981-11-2724-30746-cdDOI: 10.3850/978-981-11-2724-30746-cd
Towards an Interval Particle Transport Monte Carlo Method (Conference Paper)
Gray, A., Davis, A., & Patelli, E. (2019). Towards an Interval Particle Transport Monte Carlo Method. In Proceedings of the 29th European Safety and Reliability Conference (ESREL). Research Publishing Services. doi:10.3850/978-981-11-2724-3_0035-cdDOI: 10.3850/978-981-11-2724-3_0035-cd
2019
Dvurecenska, K., Graham, S., Patelli, E., & Patterson, E. A. (2019). A probabilistic metric for the validation of computational models (vol 5, 180687, 2018). ROYAL SOCIETY OPEN SCIENCE, 6(12). doi:10.1098/rsos.191986DOI: 10.1098/rsos.191986
Faes, M., Sadeghi, J., Broggi, M., de AngDelis, M., Patelli, E., Beer, M., & Moens, D. (2019). On the Robust Estimation of Small Failure Probabilities for Strong Nonlinear Models. ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART B-MECHANICAL ENGINEERING, 5(4). doi:10.1115/1.4044044DOI: 10.1115/1.4044044
Estrada-Lugo, H. D., Tolo, S., de Angelis, M., & Patelli, E. (2019). Pseudo Credal Networks for Inference With Probability Intervals. ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART B-MECHANICAL ENGINEERING, 5(4). doi:10.1115/1.4044239DOI: 10.1115/1.4044239
Xu, B., Li, H., Pang, W., Chen, D., Tian, Y., Lei, X., . . . Patclli, E. (2019). Bayesian network approach to fault diagnosis of a hydroelectric generation system. ENERGY SCIENCE & ENGINEERING, 7(5), 1669-1677. doi:10.1002/ese3.383DOI: 10.1002/ese3.383
Sadeghi, J., de Angelis, M., & Patelli, E. (2019). Efficient training of interval Neural Networks for imprecise training data. NEURAL NETWORKS, 118, 338-351. doi:10.1016/j.neunet.2019.07.005DOI: 10.1016/j.neunet.2019.07.005
Dvurecenska, K., Patelli, E., & Patterson, E. (2019). Probabilistic metric for validation based on strain field data. In BSSM 14th International Conference on Advances in Experimental Mechanics. Belfast.
Sandschulte, A., Ferrero, R., Hardwick, L., & Patelli, E. (2019). Approach to Wide-Frequency Battery Impedance Measurements in Commercial Applications. In 2019 IEEE 10TH INTERNATIONAL WORKSHOP ON APPLIED MEASUREMENTS FOR POWER SYSTEMS (AMPS 2019). doi:10.1109/amps.2019.8897753DOI: 10.1109/amps.2019.8897753
De Angelis, M., Estrada Lugo, H. D., Patelli, E., & Ferson, S. (2019). On the dimensionality of inference in credal nets with interval probabilities. Poster session presented at the meeting of ISIPTA 2019. Ghent.
Xu, B., Chen, D., Patelli, E., Shen, H., & Park, J. H. (2019). Mathematical model and parametric uncertainty analysis of a hydraulic generating system. Renewable Energy, 136, 1217-1230. doi:10.1016/j.renene.2018.09.095DOI: 10.1016/j.renene.2018.09.095
Tolo, S., Tian, X., Bausch, N., Becerra, V., Santhosh, T. V., Vinod, G., & Patelli, E. (2019). Robust on-line diagnosis tool for the early accident detection in nuclear power plants. Reliability Engineering and System Safety, 186, 110-119. doi:10.1016/j.ress.2019.02.015DOI: 10.1016/j.ress.2019.02.015
Estrada-Lugo, H. D., De Angelis, M., & Patelli, E. (2019). Probabilistic risk assessment of fire occurrence in residential buildings: Application to the Grenfell tower. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.
Gray, A. K., & Patelli, E. (2019). Towards a Bayesian framework for model validation. In ICASP13. Seoul, South Korea. doi:10.22725/ICASP13.347DOI: 10.22725/ICASP13.347
Rocchetta, R., Bellani, L., Compare, M., Zio, E., & Patelli, E. (2019). A reinforcement learning framework for optimal operation and maintenance of power grids. APPLIED ENERGY, 241, 291-301. doi:10.1016/j.apenergy.2019.03.027DOI: 10.1016/j.apenergy.2019.03.027
Yi, Y., Zhang, Z., Chen, D., Zhou, R., Patelli, E., & Tolo, S. (2019). State feedback predictive control for nonlinear hydro-turbine governing system (vol 24, pg 4945, 2018). JOURNAL OF VIBRATION AND CONTROL, 25(12), 1895. doi:10.1177/1077546319845158DOI: 10.1177/1077546319845158
Faes, M., Broggi, M., Patelli, E., Govers, Y., Mottershead, J., Beer, M., & Moens, D. (2019). A multivariate interval approach for inverse uncertainty quantification with limited experimental data. Mechanical Systems and Signal Processing, 118, 534-548. doi:10.1016/j.ymssp.2018.08.050DOI: 10.1016/j.ymssp.2018.08.050
Xu, B., Chen, D., Li, H., Zhuang, K., Hu, X., Li, J., . . . Patelli, E. (2019). Priority analysis for risk factors of equipment in a hydraulic turbine generator unit. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 58, 1-7. doi:10.1016/j.jlp.2019.01.002DOI: 10.1016/j.jlp.2019.01.002
Li, H., Chen, D., Arzaghi, E., Abbassi, R., Kilicman, A., Caraballo, T., . . . Xu, B. (2019). Dynamic safety assessment of a nonlinear pumped-storage generating system in a transient process. COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 67, 192-202. doi:10.1016/j.cnsns.2018.07.025DOI: 10.1016/j.cnsns.2018.07.025
Zhang, H., Pang, W., Chen, D., Tian, Y., Patelli, E., Li, C., & Zhou, J. (2019). Transient stability of a hydro-turbine governing system with different tailrace tunnels. Journal of Hydraulic Research. doi:10.1080/00221686.2018.1555555DOI: 10.1080/00221686.2018.1555555
Lye, A., Cicirello, A., & Patelli, E. (2019). A Review of Stochastic Sampling Methods for Bayesian Inference Problems. In Proceedings of the 29th European Safety and Reliability Conference (ESREL). Research Publishing Services. doi:10.3850/978-981-11-2724-3_1087-cdDOI: 10.3850/978-981-11-2724-3_1087-cd
Approach to Wide-Frequency Battery Impedance Measurements in Commercial Applications (Conference Paper)
Sandschulte, A., Ferrero, R., Hardwick, L., Patelli, E., & IEEE. (2019). Approach to Wide-Frequency Battery Impedance Measurements in Commercial Applications. In 2019 IEEE 10TH INTERNATIONAL WORKSHOP ON APPLIED MEASUREMENTS FOR POWER SYSTEMS (AMPS 2019). Retrieved from http://gateway.webofknowledge.com/
De Angelis, M., Ferson, S., Patelli, E., & Kreinovich, V. (2019). BLACK-BOX PROPAGATION OF FAILURE PROBABILITIES UNDER EPISTEMIC UNCERTAINTY. In Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019). Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece. doi:10.7712/120219.6373.18699DOI: 10.7712/120219.6373.18699
Inverse quantification of epistemic uncertainty under scarce data: Bayesian or Interval approach? (Conference Paper)
Faes, M., Broggi, M., Patelli, E., Govers, Y., Mottershead, J., Beer, M., & Moens, D. (2019). Inverse quantification of epistemic uncertainty under scarce data: Bayesian or Interval approach?. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.
Inverse quantification of epistemic uncertainty under scarce data: Bayesian or Interval approach? (Conference Paper)
Faes, M., Broggi, M., Patelli, E., Govers, Y., Mottershead, J., Beer, M., & Moens, D. (2019). Inverse quantification of epistemic uncertainty under scarce data: Bayesian or Interval approach?. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.
Inverse quantification of epistemic uncertainty under scarce data: Bayesian or Interval approach? (Conference Paper)
Faes, M., Broggi, M., Patelli, E., Govers, Y., Mottershead, J., Beer, M., & Moens, D. (2019). Inverse quantification of epistemic uncertainty under scarce data: Bayesian or Interval approach?. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.
Inverse quantification of epistemic uncertainty under scarce data: Bayesian or Interval approach? (Conference Paper)
Faes, M., Broggi, M., Patelli, E., Govers, Y., Mottershead, J., Beer, M., & Moens, D. (2019). Inverse quantification of epistemic uncertainty under scarce data: Bayesian or Interval approach?. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.
MACHINE-LEARNING TOOL FOR HUMAN FACTORS EVALUATION – APPLICATION TO LION AIR BOEING 737-8 MAX ACCIDENT (Conference Paper)
Morais, C., Yung, K., & Patelli, E. (2019). MACHINE-LEARNING TOOL FOR HUMAN FACTORS EVALUATION – APPLICATION TO LION AIR BOEING 737-8 MAX ACCIDENT. In Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019). Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece. doi:10.7712/120219.6355.18709DOI: 10.7712/120219.6355.18709
Probabilistic risk assessment of fire occurrence in residential buildings: Application to the Grenfell tower (Conference Paper)
Estrada-Lugo, H. D., De Angelis, M., & Patelli, E. (2019). Probabilistic risk assessment of fire occurrence in residential buildings: Application to the Grenfell tower. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.
Towards a Bayesian framework for model validation (Conference Paper)
Gray, A., & Patelli, E. (2019). Towards a Bayesian framework for model validation. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.
Towards a Bayesian framework for model validation (Conference Paper)
Gray, A., & Patelli, E. (2019). Towards a Bayesian framework for model validation. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.
Towards a Bayesian framework for model validation (Conference Paper)
Gray, A., & Patelli, E. (2019). Towards a Bayesian framework for model validation. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.
Lye, A., Cicrello, A., & Patelli, E. (2019). UNCERTAINTY QUANTIFICATION OF OPTIMAL THRESHOLD FAILURE PROBABILITY FOR PREDICTIVE MAINTENANCE USING CONFIDENCE STRUCTURES. In Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019). Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece. doi:10.7712/120219.6364.18502DOI: 10.7712/120219.6364.18502
2018
Li, H., Chen, D., Arzaghi, E., Abbassi, R., Xu, B., Patelli, E., & Tolo, S. (2018). Safety assessment of hydro -generating units using experiments and grey-entropy correlation analysis. ENERGY, 165, 222-234. doi:10.1016/j.energy.2018.09.079DOI: 10.1016/j.energy.2018.09.079
George-Williams, H., Feng, G., Coolen, F. P. A., Beer, M., & Patelli, E. (2018). Extending the survival signature paradigm to complex systems with non-repairable dependent failures. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. doi:10.1177/1748006X18808085DOI: 10.1177/1748006X18808085
Yi, Y., Zhang, Z., Chen, D., Zhou, R., Patelli, E., & Tolo, S. (2018). State feedback predictive control for nonlinear hydro-turbine governing system. JOURNAL OF VIBRATION AND CONTROL, 24(21), 4945-4959. doi:10.1177/1077546317740013DOI: 10.1177/1077546317740013
Hamiltonian Formulation and Analysis for Transient Dynamics of Multi-Unit Hydropower System (Journal article)
Li, H., Chen, D., Tolo, S., Xu, B., & Patelli, E. (2018). Hamiltonian Formulation and Analysis for Transient Dynamics of Multi-Unit Hydropower System. JOURNAL OF COMPUTATIONAL AND NONLINEAR DYNAMICS, 13(10). doi:10.1115/1.4040871DOI: 10.1115/1.4040871
Sadeghi, J., de Angelis, M., & Patelli, E. (2018). Frequentist history matching with Interval Predictor Models. APPLIED MATHEMATICAL MODELLING, 61, 29-48. doi:10.1016/j.apm.2018.04.003DOI: 10.1016/j.apm.2018.04.003
MODELLING AND SIMULATION ACTIVITIES IN SUPPORT OF THE UK NUCLEAR R&D PROGRAMME ON DIGITAL REACTOR DESIGN (Conference Paper)
Lindley, B., Allen, D., Lillington, J., Smethurst, A., Smith, P., Bowman, D., . . . Eaton, M. D. (2018). MODELLING AND SIMULATION ACTIVITIES IN SUPPORT OF THE UK NUCLEAR R&D PROGRAMME ON DIGITAL REACTOR DESIGN. In PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON NUCLEAR ENGINEERING, 2018, VOL 3. Retrieved from https://www.webofscience.com/
Cangul, O., Rocchetta, R., Patelli, E., & Fahrioglu, M. (2018). Financially Optimal Solar Power Sizing and Positioning in a Power Grid. In 2018 IEEE INTERNATIONAL ENERGY CONFERENCE (ENERGYCON). Retrieved from https://www.webofscience.com/DOI: 10.1109/ENERGYCON.2018.8398774
Sadeghi, J., De Angelis, M., & Patelli, E. (2018, July 16). Efficient training of neural networks with interval uncertainty. In M. De Angelis (Ed.), http://rec2018.uk/papers/proceedings/proceedings.pdf (pp. 137-146). Liverpool.
An efficient computational strategy for robust maintenance scheduling: Application to corroded pipelines (Conference Paper)
Patelli, E., & de Angelis, M. (2018). An efficient computational strategy for robust maintenance scheduling: Application to corroded pipelines. In SAFETY AND RELIABILITY - SAFE SOCIETIES IN A CHANGING WORLD (pp. 2201-2209). Retrieved from https://www.webofscience.com/
Bayesian networks with imprecise datasets: Application to oscillating water column (Conference Paper)
Estrada-Lugo, H. D., Patelli, E., de Angelis, M., & Raj, D. D. (2018). Bayesian networks with imprecise datasets: Application to oscillating water column. In SAFETY AND RELIABILITY - SAFE SOCIETIES IN A CHANGING WORLD (pp. 2611-2618). Retrieved from https://www.webofscience.com/
Morais, C., Moura, R., Beer, M., & Patelli, E. (2018). Human reliability analysis-accounting for human actions and external factors through the project life cycle. In SAFETY AND RELIABILITY - SAFE SOCIETIES IN A CHANGING WORLD (pp. 329-338). Retrieved from https://www.webofscience.com/
Safety and Reliability – Safe Societies in a Changing World (Journal article)
Haugen, S., Barros, A., van Gulijk, C., Kongsvik, T., & Vinnem, J. E. (n.d.). Safety and Reliability – Safe Societies in a Changing World. doi:10.1201/9781351174664DOI: 10.1201/9781351174664
Sadeghi, J. C., Patelli, E., De Angelis, M., & Prinja, N. K. (2018). EFFICIENT COMPUTATIONAL STRUCTURAL RELIABILITY ANALYSIS OF CONCRETE CONTAINMENTS. In 2nd International Conference on Nuclear Power Plants: Structures, Risk & Decommissioning. Croydon, UK.
Rocchetta, R., & Patelli, E. (2018). Assessment of power grid vulnerabilities accounting for stochastic loads and model imprecision. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 98, 219-232. doi:10.1016/j.ijepes.2017.11.047DOI: 10.1016/j.ijepes.2017.11.047
Xu, B., Chen, D., Gao, X., Tomas, C., & Patelli, E. (2018). Dynamic evolution of a hydraulic-mechanical-electric system with randomly fluctuating speed. NONLINEAR DYNAMICS, 92(4), 1801-1813. doi:10.1007/s11071-018-4163-8DOI: 10.1007/s11071-018-4163-8
Probabilistic Risk Assessment of Station Blackouts in Nuclear Power Plants (Journal article)
George-Williams, H., Lee, M., & Patelli, E. (2018). Probabilistic Risk Assessment of Station Blackouts in Nuclear Power Plants. IEEE TRANSACTIONS ON RELIABILITY, 67(2), 494-512. doi:10.1109/TR.2018.2824620DOI: 10.1109/TR.2018.2824620
Sadeghi, J. C., Patelli, E., & De Angelis, M. (2018). ANALYTIC IMPRECISE-PROBABILISTIC STRUCTURAL RELIABILITY ANALYSIS. In http://www.nineeng.com/bepu/images/Program%20Book%20and%20cover.pdf. Lucca, Italy. Retrieved from https://www.researchgate.net/
Tolo, S., Litskevich, D., Lai, C. K., Faulke, D., Bowman, D., Merk, B., . . . Patelli, E. (2018, June 10). UNCERTAINTY IN DIGITAL REACTOR DESIGN. In International Conference on Nuclear Power Plants, Structures, Risk and Decommissioning. Croydon, London, UK.
Patterson, E. A., Dvurecenska, K., & Patelli, E. (2018). What’s the probability that a simulation agrees with your experiment?. In Photomechanics 2018. Toulouse.
On-line Bayesian model updating for structural health monitoring (Journal article)
Rocchetta, R., Broggi, M., Huchet, Q., & Patelli, E. (2018). On-line Bayesian model updating for structural health monitoring. Mechanical Systems and Signal Processing, 103, 174-195. doi:10.1016/j.ymssp.2017.10.015DOI: 10.1016/j.ymssp.2017.10.015
Tolo, S., Patelli, E., Santhosh, T. V., Vinod, G., & Oparaji, U. (2018, May 13). Robust On-Line LOCAs Diagnostics with Artificial Neural Networks. In ANS Best Estimate Plus Uncertainty International Conference BEPU2018. Real Collegio, Lucca, Italy.
Comparison of Bayesian and interval uncertainty quantification: Application to the AIRMOD test structure (Conference Paper)
Broggi, M., Faes, M., Patelli, E., Govers, Y., Moens, D., & Beer, M. (2017). Comparison of Bayesian and interval uncertainty quantification: Application to the AIRMOD test structure. In 2017 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE. doi:10.1109/ssci.2017.8280882DOI: 10.1109/ssci.2017.8280882
Uncertainty Quantification Methods for Neural Networks Pattern Recognition (Conference Paper)
Tolo, S., Santhosh, T. V., Vinod, G., Oparaji, U., & Patelli, E. (2017). Uncertainty Quantification Methods for Neural Networks Pattern Recognition. In 2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI). Retrieved from https://www.webofscience.com/
Rocchetta, R., Broggi, M., & Patelli, E. (2018). Do we have enough data? Robust reliability via uncertainty quantification. APPLIED MATHEMATICAL MODELLING, 54, 710-721. doi:10.1016/j.apm.2017.10.020DOI: 10.1016/j.apm.2017.10.020
Zhang, H., Chen, D., Xu, B., Patelli, E., & Tolo, S. (2018). Dynamic analysis of a pumped-storage hydropower plant with random power load. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 100, 524-533. doi:10.1016/j.ymssp.2017.07.052DOI: 10.1016/j.ymssp.2017.07.052
Xu, B., Chen, D., Tolo, S., Patelli, E., & Jiang, Y. (2018). Model validation and stochastic stability of a hydro-turbine governing system under hydraulic excitations. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 95, 156-165. doi:10.1016/j.ijepes.2017.08.008DOI: 10.1016/j.ijepes.2017.08.008
Altieri, D., Tubaldi, E., De Angelis, M., Patelli, E., & Dall'Asta, A. (2018). Reliability-based optimal design of nonlinear viscous dampers for the seismic protection of structural systems. BULLETIN OF EARTHQUAKE ENGINEERING, 16(2), 963-982. doi:10.1007/s10518-017-0233-4DOI: 10.1007/s10518-017-0233-4
An Inference Method for Bayesian Networks with Probability Intervals (Conference Paper)
Tolo, S., Patelli, E., & Beer, M. (2018, April 8). An Inference Method for Bayesian Networks with Probability Intervals. In 3rd International Conference on Vulnerability and Risk Analysis and Management (ICVRAM 2018) 7th International Symposium on Uncertainty Modelling and Analysis (ISUMA 2018) 4th International Symposium on Uncertainty Quantification and Stochastic Modeling (UNCERTAINTIES 2018) in collaboration with the ASCE Infrastructure Resilience Division. Florianópolis, SC, Brazil.
Rocchetta, R., Zio, E., & Patelli, E. (2018). A power-flow emulator approach for resilience assessment of repairable power grids subject to weather-induced failures and data deficiency. APPLIED ENERGY, 210, 339-350. doi:10.1016/j.apenergy.2017.10.126DOI: 10.1016/j.apenergy.2017.10.126
An efficient reliability analysis on complex non-repairable systems with common-cause failures (Conference Paper)
Feng, G., George-Williams, H., Patelli, E., Coolen, F. P. A., & Beer, M. (2018). An efficient reliability analysis on complex non-repairable systems with common-cause failures. In SAFETY AND RELIABILITY - SAFE SOCIETIES IN A CHANGING WORLD (pp. 2531-2537). Retrieved from https://www.webofscience.com/
Tolo, S., Patelli, E., & Beer, M. (2018). An open toolbox for the reduction, inference computation and sensitivity analysis of Credal Networks. ADVANCES IN ENGINEERING SOFTWARE, 115, 126-148. doi:10.1016/j.advengsoft.2017.09.003DOI: 10.1016/j.advengsoft.2017.09.003
Morais, C., Moura, R., Beer, M., & Patelli, E. (2018). Attempt to predict human error probability in different industry sectors using data from major accidents and Bayesian networks. In PSAM 2018 - Probabilistic Safety Assessment and Management.
Effect of load-generation variability on power grid cascading failures (Conference Paper)
Rocchetta, R., Patelli, E., Bing, L., & Sansavini, G. (2018). Effect of load-generation variability on power grid cascading failures. In SAFETY AND RELIABILITY - SAFE SOCIETIES IN A CHANGING WORLD (pp. 2679-2686). Retrieved from https://www.webofscience.com/
Sadeghi, J., Fetz, T., Oberguggenberger, M., Patelli, E., & De Angelis, M. (2018). Probability Box Propagation: Benchmarking Challenge Problems. In 19th working conference of the IFIP Working Group 7.5 on Reliability and Optimization of Structural Systems. doi:10.3929/ethz-b-000335938DOI: 10.3929/ethz-b-000335938
Reliability engineering based on operating data and monitoring systems within technical products: Challenges, requirements and approaches (Conference Paper)
Bracke, S., Hinz, M., van Gulijk, C., Gronwald, F., Muenker, M., Inoue, M., . . . Yamada, T. (2018). Reliability engineering based on operating data and monitoring systems within technical products: Challenges, requirements and approaches. In SAFETY AND RELIABILITY - SAFE SOCIETIES IN A CHANGING WORLD (pp. 1069-1076). Retrieved from https://www.webofscience.com/
The UK nuclear R&D programme on digital nuclear reactor design - modelling, simulation, and virtual engineering (Conference Paper)
Merk, B., Allen, D., Bankhead, M., Bowen, A., Bowman, D., De Haas, S., . . . Vikhorev, K. (2018). The UK nuclear R&D programme on digital nuclear reactor design - modelling, simulation, and virtual engineering. In Proceedings of the 2018 International Congress on Advances in Nuclear Power Plants, ICAPP 2018 (pp. 1085-1090).
2017
George-Williams, H., & Patelli, E. (2017). Maintenance Strategy Optimization for Complex Power Systems Susceptible to Maintenance Delays and Operational Dynamics. IEEE Transactions on Reliability, 66(4), 1309-1330. doi:10.1109/tr.2017.2738447DOI: 10.1109/tr.2017.2738447
George-Williams, H., & Patelli, E. (2017). Maintenance Strategy Optimization for Complex Power Systems Susceptible to Maintenance Delays and Operational Dynamics. IEEE TRANSACTIONS ON RELIABILITY, 66(4), 1309-1330. doi:10.1109/TR.2017.2738447DOI: 10.1109/TR.2017.2738447
Oparaji, U., Sheu, R. -J., Bankhead, M., Austin, J., & Patelli, E. (2017). Robust artificial neural network for reliability and sensitivity analyses of complex non-linear systems. NEURAL NETWORKS, 96, 80-90. doi:10.1016/j.neunet.2017.09.003DOI: 10.1016/j.neunet.2017.09.003
Tolo, S., Patelli, E., & Beer, M. (2017). Robust vulnerability analysis of nuclear facilities subject to external hazards. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 31(10), 2733-2756. doi:10.1007/s00477-016-1360-1DOI: 10.1007/s00477-016-1360-1
Zhang, Y., Comerford, L., Kougioumtzoglou, I. A., Patelli, E., & Beer, M. (2017). Uncertainty Quantification of Power Spectrum and Spectral Moments Estimates Subject to Missing Data. ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING, 3(4). doi:10.1061/AJRUA6.0000925DOI: 10.1061/AJRUA6.0000925
Learning from accidents: interactions between human factors, technology and organisations as a central element to validate risk studies (Journal article)
Moura, R., beer, M., Patelli, E., Lewis, J., & Knoll, F. (2017). Learning from accidents: interactions between human factors, technology and organisations as a central element to validate risk studies. Safety Science, 99(Part B), 196-214. doi:10.1016/j.ssci.2017.05.001DOI: 10.1016/j.ssci.2017.05.001
Moura, R., Beer, M., Patelli, E., & Lewis, J. (2017). Learning from major accidents: Graphical representation and analysis of multi-attribute events to enhance risk communication. SAFETY SCIENCE, 99, 58-70. doi:10.1016/j.ssci.2017.03.005DOI: 10.1016/j.ssci.2017.03.005
Patelli, E., Feng, G., Coolen, F., & Coolen-Maturi, T. (2017). Simulation Methods for System Reliability Using the Survival Signature. Reliability Engineering & System Safety, 167, 327-337. doi:10.1016/j.ress.2017.06.018DOI: 10.1016/j.ress.2017.06.018
Prinja, N. K., Ogunbadejo, A., Sadeghi, J., & Patelli, E. (2017). Structural reliability of pre-stressed concrete containments. NUCLEAR ENGINEERING AND DESIGN, 323, 235-244. doi:10.1016/j.nucengdes.2016.11.036DOI: 10.1016/j.nucengdes.2016.11.036
Ferrero, R., Wu, C., De Angelis, M., George-Williams, H., Patelli, E., Carboni, A., . . . IEEE. (2017). Low-Cost Battery Monitoring by Converter-Based Electrochemical Impedance Spectroscopy. In 2017 IEEE INTERNATIONAL WORKSHOP ON APPLIED MEASUREMENTS FOR POWER SYSTEMS (AMPS) (pp. 78-83). Retrieved from http://gateway.webofknowledge.com/
Li, H., Chen, D., Xu, B., Tolo, S., & Patelli, E. (2017). Dynamic analysis of multi-unit hydropower systems in transient process. NONLINEAR DYNAMICS, 90(1), 535-548. doi:10.1007/s11071-017-3679-7DOI: 10.1007/s11071-017-3679-7
Patelli, E., Altieri, D., Pellissetti, M., Keßler, H., & Laudarin, F. (2017). Statistical analysis of impact forces and permanent deformations of fuel assembly spacer grids in the context of seismic fragility. In Transactions. Busan.
George-Williams, H., & Patelli, E. (2017). Efficient availability assessment of reconfigurable multi-state systems with interdependencies. RELIABILITY ENGINEERING & SYSTEM SAFETY, 165, 431-444. doi:10.1016/j.ress.2017.05.010DOI: 10.1016/j.ress.2017.05.010
Sadeghi, J. C., & Patelli, E. (2017). History Matching with Robust Predictive Metamodels. In ICOSSAR 2017 - 12th International Conference on Structural Safety & Reliability. Vienna, Austria.
Stochastic Analysis and Reliability-Cost Optimization of Distributed Generators and Air Source Heat Pumps (Conference Paper)
Rocchetta, R., & Patelli, E. (2017). Stochastic Analysis and Reliability-Cost Optimization of Distributed Generators and Air Source Heat Pumps. In 2017 2ND INTERNATIONAL CONFERENCE ON SYSTEM RELIABILITY AND SAFETY (ICSRS) (pp. 31-35). Retrieved from https://www.webofscience.com/
COSSAN: A Multidisciplinary Software Suite for Uncertainty Quantification and Risk Management (Chapter)
Patelli, E. (2017). COSSAN: A Multidisciplinary Software Suite for Uncertainty Quantification and Risk Management. In Handbook of Uncertainty Quantification (pp. 1909-1977). Springer International Publishing. doi:10.1007/978-3-319-12385-1_59DOI: 10.1007/978-3-319-12385-1_59
Safety and Reliability. Theory and Applications (Book)
Cepin, M., & Bris, R. (Eds.) (n.d.). Safety and Reliability. Theory and Applications. CRC Press. doi:10.1201/9781315210469DOI: 10.1201/9781315210469
de Angelis, M., Patelli, E., & Beer, M. (2017). Forced Monte Carlo Simulation Strategy for the Design of Maintenance Plans with Multiple Inspections. ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING, 3(2). doi:10.1061/AJRUA6.0000868DOI: 10.1061/AJRUA6.0000868
Tolo, S., Patelli, E., & Beer, M. (2017). Risk Assessment of Spent Nuclear Fuel Facilities Considering Climate Change. ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING, 3(2). doi:10.1061/AJRUA6.0000874DOI: 10.1061/AJRUA6.0000874
SPECTRAL CORRECTION FACTORS FOR CONVENTIONAL NEUTRON DOSE METERS USED IN HIGH-ENERGY NEUTRON ENVIRONMENTS-IMPROVED AND EXTENDED RESULTS BASED ON A COMPLETE SURVEY OF ALL NEUTRON SPECTRA IN IAEA-TRS-403 (Journal article)
Oparaji, U., Tsai, Y. H., Liu, Y. C., Lee, K. W., Patelli, E., & Sheu, R. J. (2017). SPECTRAL CORRECTION FACTORS FOR CONVENTIONAL NEUTRON DOSE METERS USED IN HIGH-ENERGY NEUTRON ENVIRONMENTS-IMPROVED AND EXTENDED RESULTS BASED ON A COMPLETE SURVEY OF ALL NEUTRON SPECTRA IN IAEA-TRS-403. RADIATION PROTECTION DOSIMETRY, 175(1), 87-95. doi:10.1093/rpd/ncw272DOI: 10.1093/rpd/ncw272
Sensitivity or Bayesian model updating: a comparison of techniques using the DLR AIRMOD test data (Journal article)
Patelli, E., Govers, Y., Broggi, M., Gomes, H. M., Link, M., & Mottershead, J. E. (2017). Sensitivity or Bayesian model updating: a comparison of techniques using the DLR AIRMOD test data. ARCHIVE OF APPLIED MECHANICS, 87(5), 905-925. doi:10.1007/s00419-017-1233-1DOI: 10.1007/s00419-017-1233-1
Gazis, N., Kougioumtzoglou, I. A., & Patelli, E. (2017). Ice Gouge Depth Determination Via an Efficient Stochastic Dynamics Technique. JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING-TRANSACTIONS OF THE ASME, 139(1). doi:10.1115/1.4034372DOI: 10.1115/1.4034372
An efficient framework for reliability assessment of power networks installing renewable generators and subject to parametric P-box uncertainty (Conference Paper)
Rocchetta, R., & Patelli, E. (2017). An efficient framework for reliability assessment of power networks installing renewable generators and subject to parametric P-box uncertainty. In Safety and Reliability – Theory and Applications. CRC Press. doi:10.1201/9781315210469-411DOI: 10.1201/9781315210469-411
Application of a frequentist metric for the validation of computational mechanics models (Conference Paper)
Dvurecenska, K., Patelli, E., graham, S., & Patterson, E. A. (2017). Application of a frequentist metric for the validation of computational mechanics models. In BSSM’s 12th International Conference on Advances in Experimental Mechanics.
Altieri, D., Tubaldi, E., Patelli, E., & Dall'Asta, A. (2017). Assessment of optimal design methods of viscous dampers. In X INTERNATIONAL CONFERENCE ON STRUCTURAL DYNAMICS (EURODYN 2017) Vol. 199 (pp. 1152-1157). doi:10.1016/j.proeng.2017.09.286DOI: 10.1016/j.proeng.2017.09.286
Bracke, S., Backes, B., Patelli, E., Inoue, M., Yamada, S., Ulutas, B., . . . Suel, G. (2017). CHALLENGES, TRENDS AND APPROACHES OF FUTURE RELIABILITY ENGINEERING IN HIGH PRECISION MANUFACTURING PROCESSES. In 24TH INTERNATIONAL CONFERENCE ON PRODUCTION RESEARCH (ICPR) (pp. 19-24). Retrieved from https://www.webofscience.com/
Patelli, E., Broggi, M., Tolo, S., & Sadeghi, J. (2017). COSSAN SOFTWARE: A MULTIDISCIPLINARY AND COLLABORATIVE SOFTWARE FOR UNCERTAINTY QUANTIFICATION. In Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2017). Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece. doi:10.7712/120217.5364.16982DOI: 10.7712/120217.5364.16982
Comparison of Bayesian and Interval Uncertainty Quantification: Application to the AIRMOD Test Structure (Conference Paper)
Broggi, M., Faes, M., Patelli, E., Govers, Y., Moens, D., & Beer, M. (2017). Comparison of Bayesian and Interval Uncertainty Quantification: Application to the AIRMOD Test Structure. In 2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI) (pp. 1684-1691). Retrieved from https://www.webofscience.com/
Feng, G., Patelli, E., Beer, M., & Coolen, F. P. A. (2017). Component importance measures for complex repairable system. In Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016 (pp. 252).
Feng, G., Reed, S., Patelli, E., Beer, M., & Coolen, F. P. A. (2017). EFFICIENT RELIABILITY AND UNCERTAINTY ASSESSMENT ON LIFELINE NETWORKS USING THE SURVIVAL SIGNATURE. In Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2017). Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece. doi:10.7712/120217.5354.16865DOI: 10.7712/120217.5354.16865
George-Williams, H., & Patelli, E. (2017). Efficient availability assessment of reconfigurable complex multi-state systems with interdependencies. In Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016 (pp. 409).
Efficient availability assessment of reconfigurable complex multi-state systems with interdependencies (Conference Paper)
George-Williams, H., & Patelli, E. (2017). Efficient availability assessment of reconfigurable complex multi-state systems with interdependencies. In RISK, RELIABILITY AND SAFETY: INNOVATING THEORY AND PRACTICE (pp. 2501-2508). Retrieved from https://www.webofscience.com/
Moura, R., Patelli, E., Lewis, J., Morais, C., & Beer, M. (2017). Human factors influencing decision-making: Tendencies from first-line management decisions and implications to reduce major accidents. In Safety and Reliability – Theory and Applications. CRC Press. doi:10.1201/9781315210469-34DOI: 10.1201/9781315210469-34
Imprecise probabilistic framework for power grids risk assessment and sensitivity analysis (Conference Paper)
Rocchetta, R., & Patelli, E. (2017). Imprecise probabilistic framework for power grids risk assessment and sensitivity analysis. In Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016 (pp. 456).
Imprecise probabilistic framework for power grids risk assessment and sensitivity analysis (Conference Paper)
Rocchetta, R., & Patelli, E. (2017). Imprecise probabilistic framework for power grids risk assessment and sensitivity analysis. In RISK, RELIABILITY AND SAFETY: INNOVATING THEORY AND PRACTICE (pp. 2789-2796). Retrieved from https://www.webofscience.com/
Mlejnkova, P., Patelli, E., Grundy, C., & Hodgson, Z. (2017). Influence of trust in institutions on public acceptance of nuclear power from a historical context across nuclear countries. In Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016 (pp. 472).
Influence of trust in institutions on public acceptance of nuclear power from a historical context across nuclear countries (Conference Paper)
Mlejnkova, P., Patelli, E., Grundy, C., & Hodgson, Z. (2017). Influence of trust in institutions on public acceptance of nuclear power from a historical context across nuclear countries. In RISK, RELIABILITY AND SAFETY: INNOVATING THEORY AND PRACTICE (pp. 2892-2896). Retrieved from https://www.webofscience.com/
Learning from accidents: Investigating the genesis of human errors in multi-attribute settings to improve the organisation of design (Conference Paper)
Moura, R., Beer, M., Patelli, E., Lewis, J., & Knoll, F. (2017). Learning from accidents: Investigating the genesis of human errors in multi-attribute settings to improve the organisation of design. In Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016 (pp. 38).
Minimise the Risk of Collision of Autonomous Vehicles in a Dynamic and Uncertain Environment (Conference Paper)
Hartmann, M., Angelis, M. D., & Patelli, E. (2017). Minimise the Risk of Collision of Autonomous Vehicles in a Dynamic and Uncertain Environment. In NAFEMS World Congress.
Patelli, E., Broggi, M., Govers, Y., & Mottershead, J. E. (2017). Model Updating Strategy of the DLR-AIRMOD Test Structure. In X INTERNATIONAL CONFERENCE ON STRUCTURAL DYNAMICS (EURODYN 2017) Vol. 199 (pp. 978-983). doi:10.1016/j.proeng.2017.09.221DOI: 10.1016/j.proeng.2017.09.221
Jiang, Y., Zhao, L., Beer, M., Patelli, E., Broggi, M., Luo, J., . . . Zhang, J. (2017). Multiple response surfaces method with advanced classification of samples for structural failure function fitting. STRUCTURAL SAFETY, 64, 87-97. doi:10.1016/j.strusafe.2016.10.002DOI: 10.1016/j.strusafe.2016.10.002
ROBUST ARTIFICIAL NEURAL NETWORK FOR RELIABILITY ANALYSIS (Conference Paper)
Oparaji, U., Sheu, R. -J., & Patelli, E. (2017). ROBUST ARTIFICIAL NEURAL NETWORK FOR RELIABILITY ANALYSIS. In Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2017). Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece. doi:10.7712/120217.5400.17104DOI: 10.7712/120217.5400.17104
Reliability and Uncertainty Analysis on Complex Systems Using the Survival Signature (Conference Paper)
Feng, G., Patelli, E., & Beer, M. (2017). Reliability and Uncertainty Analysis on Complex Systems Using the Survival Signature. In FrontUQ 2017 Frontiers of Uncertainty Quantification in Engineering 6-8 September 2017, Munich, Germany.
Reliability and performance analysis of multi-state systems based on analytical load flow considerations (Conference Paper)
George-Williams, H., Patelli, E., & Lee, M. (2017). Reliability and performance analysis of multi-state systems based on analytical load flow considerations. In Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016 (pp. 408).
Reliability engineering in face of shorten product life cycles: Challenges, technique trends and method approaches to ensure product reliability (Conference Paper)
Bracke, S., Hinz, M., Inoue, M., Patelli, E., Kutz, S., Gottschalk, H., . . . Bonnaud, P. (2017). Reliability engineering in face of shorten product life cycles: Challenges, technique trends and method approaches to ensure product reliability. In Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016 (pp. 471).
Reliability engineering in face of shorten product life cycles: Challenges, technique trends and method approaches to ensure product reliability (Conference Paper)
Bracke, S., Hinz, M., Inoue, M., Patelli, E., Kutz, S., Gottschalk, H., . . . Bonnaud, P. (2017). Reliability engineering in face of shorten product life cycles: Challenges, technique trends and method approaches to ensure product reliability. In RISK, RELIABILITY AND SAFETY: INNOVATING THEORY AND PRACTICE (pp. 2884-2891). Retrieved from https://www.webofscience.com/
Reliability-Based Methodology for the Optimal Design of Viscous Dampers (Conference Paper)
Altieri, D., Tubaldi, E., Broggi, M., & Patelli, E. (2017). Reliability-Based Methodology for the Optimal Design of Viscous Dampers. In Unknown Conference (pp. 427-439). Springer International Publishing. doi:10.1007/978-3-319-47886-9_29DOI: 10.1007/978-3-319-47886-9_29
Sensitivity Analysis for Structural Reliability of Pre-stressed Concrete containments (Conference Paper)
Sadeghi, J., Prinja, N. K., & Patelli, E. (2017). Sensitivity Analysis for Structural Reliability of Pre-stressed Concrete containments. In The Universities Nuclear Technology Forum 2017.
Sensitivity analysis for Bayesian networks with interval probabilities (Conference Paper)
Tolo, S., Patelli, E., & Beer, M. (2017). Sensitivity analysis for Bayesian networks with interval probabilities. In RISK, RELIABILITY AND SAFETY: INNOVATING THEORY AND PRACTICE (pp. 306-312). Retrieved from https://www.webofscience.com/
Sensitivity analysis for bayesian networks with interval probabilities (Conference Paper)
Tolo, S., Patelli, E., & Beer, M. (2017). Sensitivity analysis for bayesian networks with interval probabilities. In Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016 (pp. 52).
The Relationship Between Aortic Root Size and Hypertension: An Unsolved Conundrum. (Chapter)
Mulè, G., Nardi, E., Morreale, M., Castiglia, A., Geraci, G., Altieri, D., . . . Cottone, S. (2017). The Relationship Between Aortic Root Size and Hypertension: An Unsolved Conundrum.. In Unknown Book (Vol. 956, pp. 427-445). doi:10.1007/5584_2016_86DOI: 10.1007/5584_2016_86
VULNERABILITY OF HYDROPOWER INSTALLATIONS TO CLIMATE CHANGE: PRELIMINARY STUDY (Conference Paper)
Tolo, S., Patelli, E., & Chen, D. (2017). VULNERABILITY OF HYDROPOWER INSTALLATIONS TO CLIMATE CHANGE: PRELIMINARY STUDY. In Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2017). Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece. doi:10.7712/120217.5403.17209DOI: 10.7712/120217.5403.17209
2016
Liang, T. H., Liang, K. S., Cheng, C. K., Pei, B. S., & Patelli, E. (2016). Risk-informed analysis of the large break loss of coolant accident and PCT margin evaluation with the RISMC methodology. NUCLEAR ENGINEERING AND DESIGN, 308, 214-221. doi:10.1016/j.nucengdes.2016.08.035DOI: 10.1016/j.nucengdes.2016.08.035
Oparaji, U., Sheu, R. J., Bankhead, M., Austin, J., & Patelli, E. (2016). Artificial Neural Network Uncertainty Quantification for the Sensitivity Analysis of the SIXEP Model. In 13th International Conference on Probabilistic Safety Assessment and Management (PSAM 13). South Korea.
George-Williams, H., Lee, M., & Patelli, E. (2016). A Framework for Power Recovery Probability Quantification in Nuclear Power Plant Station Blackout Sequences. In International Conference on Probabilistic Safety Assessment and Management (PSAM) Vol. 13. Seoul, South Korea.
George-Williams, H., Patelli, E., & Lee, M. (2017). Reliability and performance analysis of multi-state systems based on analytical load flow considerations. In RISK, RELIABILITY AND SAFETY: INNOVATING THEORY AND PRACTICE (pp. 2493-2500). Retrieved from https://www.webofscience.com/
Component importance measures for complex repairable system (Conference Paper)
Feng, G., Patelli, E., Beer, M., & Coolen, F. P. A. (2017). Component importance measures for complex repairable system. In RISK, RELIABILITY AND SAFETY: INNOVATING THEORY AND PRACTICE (pp. 1580-1585). Retrieved from https://www.webofscience.com/
Imprecise probabilistic framework for power grids risk assessment and sensitivity analysis (Conference Paper)
Rocchetta, R., & Patelli, E. (2016). Imprecise probabilistic framework for power grids risk assessment and sensitivity analysis. In Unknown Conference (pp. 2789-2796). CRC Press. doi:10.1201/9781315374987-424DOI: 10.1201/9781315374987-424
Moura, R., Beer, M., Patelli, E., Lewis, J., & Knoll, F. (2017). Learning from accidents: Investigating the genesis of human errors in multi-attribute settings to improve the organisation of design. In RISK, RELIABILITY AND SAFETY: INNOVATING THEORY AND PRACTICE (pp. 228-236). Retrieved from https://www.webofscience.com/
A hybrid load flow and event driven simulation approach to multi-state system reliability evaluation (Journal article)
George-Williams, H., & Patelli, E. (2016). A hybrid load flow and event driven simulation approach to multi-state system reliability evaluation. Reliability Engineering and System Safety, 152, 351-367. doi:10.1016/j.ress.2016.04.002DOI: 10.1016/j.ress.2016.04.002
On Bayesian approaches for real-time crack detection and identification (Other)
Patelli, E., Broggi, M., & Huchet, Q. (n.d.). On Bayesian approaches for real-time crack detection and identification.
Sensitivity analysis of physical-based landslide models (Journal article)
Trefolini, E., Patelli, E., & Broggi, M. (n.d.). Sensitivity analysis of physical-based landslide models. Landslides.
Feng, G., Patelli, E., Beer, M., & Coolen, F. P. A. (2016). Imprecise system reliability and component importance based on survival signature. RELIABILITY ENGINEERING & SYSTEM SAFETY, 150, 116-125. doi:10.1016/j.ress.2016.01.019DOI: 10.1016/j.ress.2016.01.019
Feng, G., Patelli., & Beer. (2016). Reliability Analysis of Complex Systems with Uncertainties by Monte Carlo Simulation Method. In Tongji University Press (pp. 353-358). Shanghai, China.
Rocchetta, R., & Patelli, E. (2016). Cossan-X poster. Poster session presented at the meeting of SIAM UQ Conference 2016.
Moura, R., Beer, M., Patelli, E., Lewis, J., & Knoll, F. (2016). Learning from major accidents to improve system design. Safety Science, 84, 37-45. doi:10.1016/j.ssci.2015.11.022DOI: 10.1016/j.ssci.2015.11.022
Au, S. -K., & Patelli, E. (2016). Rare event simulation in finite-infinite dimensional space. RELIABILITY ENGINEERING & SYSTEM SAFETY, 148, 67-77. doi:10.1016/j.ress.2015.11.012DOI: 10.1016/j.ress.2015.11.012
Venturini, T., Trefolini, E., Patelli, E., Broggi, M., Tuliani, G., & Disperati, L. (2016). Mapping slope deposits depth by means of cluster analysis: a comparative assessment. RENDICONTI ONLINE SOCIETA GEOLOGICA ITALIANA, 39, 47-50. doi:10.3301/ROL.2016.44DOI: 10.3301/ROL.2016.44
A Framework for Power Recovery Probability Quantification in a Nuclear Power Plant Station Blackout Sequence (Conference Paper)
George-Williams, H., Lee, M., & Patelli, E. (2016). A Framework for Power Recovery Probability Quantification in a Nuclear Power Plant Station Blackout Sequence. In PSAM 2016.
Rocchetta, R., Patelli, E., & Broggi, M. (2016). Bayesian Model Updating for Damage Identification. Poster session presented at the meeting of Unknown Conference.
Dealing with uncertainties and imprecision: the COSSAN project (Conference Paper)
Angelis, M. D., & Patelli, E. (2016). Dealing with uncertainties and imprecision: the COSSAN project. In NAFEMS UK Conference.
Dealing with vague and limited information in uncertainty quantification (Conference Paper)
Beer, M., Kougioumtzoglou, I. A., Patelli, E., & Broggi, M. (2016). Dealing with vague and limited information in uncertainty quantification. In The 7th International Workshop on Reliable Engineering Computing (REC2016) June 15-17, 2016, Ruhr University Bochum | Germany. Retrieved from http://rec2016.rub.de/downloads/REC2016-K1_Beer.pdf
Patelli, E., & Feng, G. (2016). Efficient Simulation Approaches for Reliability Analysis of Large Systems. In INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS, IPMU 2016, PT I Vol. 610 (pp. 129-140). doi:10.1007/978-3-319-40596-4_12DOI: 10.1007/978-3-319-40596-4_12
Encyclopedia of Earthquake Engineering (Book)
Beer, M., Kougioumtzoglou, I. A., Patelli, E., & Au, I. S. -K. (Eds.) (2016). Encyclopedia of Earthquake Engineering. Springer Berlin Heidelberg. doi:10.1007/978-3-642-36197-5DOI: 10.1007/978-3-642-36197-5
Flow Simulation for the Availability Assessment of Reconfigurable Complex Multi-State Systems with Interdependencies (Conference Paper)
George-Williams, H., & Patelli, E. (2016). Flow Simulation for the Availability Assessment of Reconfigurable Complex Multi-State Systems with Interdependencies. In ESREL 2016.
Inference Computation and Uncertainty Quantification for Bayesian Networks with Interval Probabilities (Conference Paper)
Tolo, S., & Patelli, E. (2016). Inference Computation and Uncertainty Quantification for Bayesian Networks with Interval Probabilities. In Risk, Reliability and Safety: Innovating Theory and Practice (pp. 306).
Mapping slope deposits depth by means of cluster analysis: a comparative assessment (Conference Paper)
Venturini, T., Trefolini, E., Patelli, E., Broggi, M., Tuliani, G., & Disperati, L. (2016). Mapping slope deposits depth by means of cluster analysis: a comparative assessment. In S. G. Italiana (Ed.), Rend. Online Soc. Geol. It.,.
Physical based model of offshore pipelines subjected to ice gouging events (Conference Paper)
Calleja, D., & Patelli, E. (2016). Physical based model of offshore pipelines subjected to ice gouging events. In 2016 EMI International conference.
Rocchetta, R., & Patelli, E. (2016). POWER GRID ROBUSTENSS TO SEVERE FAILURES: TOPOLGICAL AND FLOW BASED METRICS COMPARISION. In Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016). Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece. doi:10.7712/100016.2246.10737
Preliminary validation of a micromechanistic model of nuclear graphite response (Conference Paper)
Dvurecenska, K., Tzelepi, A., Graham, S. J., Patelli, E., & Patterson, E. A. (2016). Preliminary validation of a micromechanistic model of nuclear graphite response. In INGSM.
Reliability Analysis of Complex Systems with Imprecision by Survival Signature-based Simulation Method (Conference Paper)
Feng, G., Patelli, E., & Beer, M. (2016). Reliability Analysis of Complex Systems with Imprecision by Survival Signature-based Simulation Method. In J. Z. J. B. C. H W Huang (Ed.), 6th Asian-Pacific Symposium on Structural Reliability and its Applications (APSSRA6) 28-30 May 2016, Shanghai, China (pp. 353-358). Tongji University Press.
Beer, M., Feng, G., Patelli, E., Broggi, M., & Coolen, F. P. A. (2016). Reliability Assessment of Systems with Limited Information. In 5th International Symposium on Reliability Engineering and Risk Management August 17 – 20, 2016, Seoul, Korea.
Opeyemi, D. A., Patelli, E., Angelis, M. D., Beer, M., & Timashev, S. A. (2016). Reliability-Based Optimization of Inspection Time Interval for Corroded Pipelines. In J. Z. J. B. C. H W Huang (Ed.), 6th Asian-Pacific Symposium on Structural Reliability and its Applications (APSSRA6) 28-30 May 2016, Shanghai, China) (pp. 359-364). Tongji University Press.
Zhang, Y., Comerford, L., Kougioumtzoglou, I. A., Patelli, E., & Beer, M. (2016). Spectral moments estimates uncertainty quantification under incomplete data. In J. Z. J. B. C. H W Huang (Ed.), 6th Asian-Pacific Symposium on Structural Reliability and its Applications (APSSRA6) 28-30 May 2016, Shanghai, China (pp. 377-384). Tongji University Press.
Subset Simulation in finite-infinite dimensional space (Journal article)
Au, S. K., & Patelli, E. (2016). Subset Simulation in finite-infinite dimensional space. Reliability Engineering & System safety, 148, 66-77. doi:10.1016/j.ress.2015.11.012DOI: 10.1016/j.ress.2015.11.012
2015
Mlejnkova, P., Patelli, E., & Hodgson, Z. (n.d.). THE POSSIBILITIES OF COAL POWER PLANTS REPLACEMENT WITH SMALL MODULAR REACTORS: A UK CASE STUDY. Energy. Retrieved from http://rpsonline.com.sg/rps2prod/ipw2015/pdf/059.pdf
Enhanced Bayesian Network approach to sea wave overtopping hazard quantification (Conference Paper)
Tolo, S., Patelli, E., & Beer, M. (2015). Enhanced Bayesian Network approach to sea wave overtopping hazard quantification. In Unknown Conference (pp. 1983-1990). CRC Press. doi:10.1201/b19094-258DOI: 10.1201/b19094-258
Moura, R., Beer, M., Patelli, E., Lewis, J., & Knoll, F. (2015). Learning from accidents: Analysis of multi-attribute events and implications to improve design and reduce human errors. In Unknown Conference (pp. 3049-3056). CRC Press. doi:10.1201/b19094-402DOI: 10.1201/b19094-402
Line sampling approach for extreme case analysis in presence of aleatory and epistemic uncertainties (Conference Paper)
Patelli, E., & de Angelis, M. (2015). Line sampling approach for extreme case analysis in presence of aleatory and epistemic uncertainties. In Unknown Conference (pp. 2585-2593). CRC Press. doi:10.1201/b19094-339DOI: 10.1201/b19094-339
On Bayesian approaches for real-time crack detection (Conference Paper)
Rocchetta, R., Broggi, M., Patelli, E., & Huchet, Q. (2015). On Bayesian approaches for real-time crack detection. In Unknown Conference (pp. 1929-1936). CRC Press. doi:10.1201/b19094-251DOI: 10.1201/b19094-251
Optimal risk regulatory policy in the development of a geological disposal facility (Conference Paper)
Nieto-Cerezo, O., Patelli, E., & Beer, M. (2015). Optimal risk regulatory policy in the development of a geological disposal facility. In Unknown Conference (pp. 2781-2788). CRC Press. doi:10.1201/b19094-364DOI: 10.1201/b19094-364
Reliability assessments and remaining life of pipelines subject to combined loadings using imprecise probabilities (Conference Paper)
Opeyemi, D., Patelli, E., Beer, M., & Timashev, S. (2015). Reliability assessments and remaining life of pipelines subject to combined loadings using imprecise probabilities. In Unknown Conference (pp. 2789-2796). CRC Press. doi:10.1201/b19094-365DOI: 10.1201/b19094-365
Robust design of inspection schedules by means of probability boxes for structural systems prone to damage accumulation (Conference Paper)
de Angelis, M., Patelli, E., & Beer, M. (2015). Robust design of inspection schedules by means of probability boxes for structural systems prone to damage accumulation. In Unknown Conference (pp. 2733-2741). CRC Press. doi:10.1201/b19094-358DOI: 10.1201/b19094-358
Survival signature-based sensitivity analysis of systems with epistemic uncertainties (Conference Paper)
Feng, G., Patelli, E., & Beer, M. (2015). Survival signature-based sensitivity analysis of systems with epistemic uncertainties. In Unknown Conference (pp. 1547-1552). CRC Press. doi:10.1201/b19094-202DOI: 10.1201/b19094-202
Monte Carlo-Based Reliability/Availability Analysis Algorithm for Efficient Maintenance Planning (Conference Paper)
George-Williams, H., & Patelli, E. (2015). Monte Carlo-Based Reliability/Availability Analysis Algorithm for Efficient Maintenance Planning. In Structural Mechanics in Reactor Technology (SMIRT) Vol. 23. Manchester, England.
Perspectives on model updating (Presentation material)
Mottershead, J., Broggi, M., Gomes, H. M., Govers, Y., Haddad Khodaparast, H., Link, M., . . . Silva, T. A. N. (2015). Perspectives on model updating. Lagos, Portugal.
A COMPUTATIONAL TOOL FOR BAYESIAN NETWORKS ENHANCED WITH RELIABILITY METHODS (Conference Paper)
Tolo, S., Patelli, E., Beer, M., & Kang, Z. (2015). A COMPUTATIONAL TOOL FOR BAYESIAN NETWORKS ENHANCED WITH RELIABILITY METHODS. In Proceedings of the 1st International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2015). Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece. doi:10.7712/120215.4316.546DOI: 10.7712/120215.4316.546
A Simulation-Based Probabilistic Risk Assessment of Electric Vehicles Control Strategies Accounting Renewable Energy Sources (Conference Paper)
Rocchetta, R., & Patelli, E. (2015). A Simulation-Based Probabilistic Risk Assessment of Electric Vehicles Control Strategies Accounting Renewable Energy Sources. In Proceedings of the 13th International Probabilistic Workshop (IPW 2015), 4 – 6 November 2015 University of Liverpool, UK. Research Publishing Services.
ADVANCED MONTE CARLO SIMULATION FOR THE ROBUST DESIGN AND MAINTENANCE OF FATIGUE-PRONE METALLIC COMPONENTS (Conference Paper)
Angelis, M. D., & Patelli, E. (2015). ADVANCED MONTE CARLO SIMULATION FOR THE ROBUST DESIGN AND MAINTENANCE OF FATIGUE-PRONE METALLIC COMPONENTS. In Transactions, SMiRT-23 Manchester, United Kingdom - August 10-14, 2015 Division IX.
de Angelis, M., Patelli, E., & Beer, M. (2015). Advanced Line Sampling for efficient robust reliability analysis. STRUCTURAL SAFETY, 52, 170-182. doi:10.1016/j.strusafe.2014.10.002DOI: 10.1016/j.strusafe.2014.10.002
Affidabilità di approcci predittivi di regionalizzazione delle proprietà geologico-tecniche dei depositi superficiali di versante (Conference Paper)
Venturini, T., Trefolini, E., Patelli, E., Broggi, M., & Disperati, L. (2015). Affidabilità di approcci predittivi di regionalizzazione delle proprietà geologico-tecniche dei depositi superficiali di versante. In X Convegno Nazionale "GIT- Geosciences and Information Technologies".
An efficient forced-biased Monte Carlo method for imprecise probability: application to robust maintenance activities (Conference Paper)
Patelli, E., & Angelis, M. D. (2015). An efficient forced-biased Monte Carlo method for imprecise probability: application to robust maintenance activities. In 1st ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering Crete Island, Greece, 25-27 May 2015.
Analysis of Renewable Energy Integration Percentage of a Given Power System (Conference Paper)
Cangul, O., Patelli, E., Beer, M., Wenzelburger, J., & Fahrioglu, M. (2015). Analysis of Renewable Energy Integration Percentage of a Given Power System. In 1st ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering Crete Island, Greece, 25-27 May 2015.
Bayesian model updating of the DLR AIRMOD test structure (Conference Paper)
Broggi, M., Patelli, E., & H Haddad Khodaparast, J. E. M. (2015). Bayesian model updating of the DLR AIRMOD test structure. In 1st ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering Crete Island, Greece, 25-27 May 2015.
COSSAN: A Multidisciplinary Software Suite for Uncertainty Quantification and Risk Management (Chapter)
Patelli, E. (2015). COSSAN: A Multidisciplinary Software Suite for Uncertainty Quantification and Risk Management. In Handbook of Uncertainty Quantification (pp. 1-69). Springer International Publishing. doi:10.1007/978-3-319-11259-6_59-1DOI: 10.1007/978-3-319-11259-6_59-1
Comparative studies on assessment of corrosion rates in pipelines as semi-probabilistic and fully stochastic values (Conference Paper)
Opeyemi, D. A., Patelli, E., Beer, M., & Timashev, S. A. (2015). Comparative studies on assessment of corrosion rates in pipelines as semi-probabilistic and fully stochastic values. In 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015.
EFFICENT EPISTEMIC-ALEATORY UNCERTAINTY QUANTIFICATION: APPLICATION TO THE NAFEMS CHALLENGE PROBLEM (Conference Paper)
Broggi, M., Rocchetta, R., & Patelli, E. (2015). EFFICENT EPISTEMIC-ALEATORY UNCERTAINTY QUANTIFICATION: APPLICATION TO THE NAFEMS CHALLENGE PROBLEM. In NAFEMS World Congress 2015 inc. the 2nd International SPDM Conference | San Diego, CA, 21-24 June 2015.
EFFICIENT COMPUTATIONAL FRAMEWORK FOR UNCERTAINTY MANAGEMENT AND DESIGN OF SAFETY CRITICAL SYSTEMS (Conference Paper)
Patelli, E. (2015). EFFICIENT COMPUTATIONAL FRAMEWORK FOR UNCERTAINTY MANAGEMENT AND DESIGN OF SAFETY CRITICAL SYSTEMS. In Transactions, SMiRT-23 Manchester, United Kingdom - August 10-14, 2015 Division VII.
Editorial: Engineering analysis with vague and imprecise information (Journal article)
Beer, M., & Patelli, E. (2015). Editorial: Engineering analysis with vague and imprecise information. STRUCTURAL SAFETY, 52, 143. doi:10.1016/j.strusafe.2014.11.001DOI: 10.1016/j.strusafe.2014.11.001
Efficient Monte Carlo algorithm for rare failure event simulation (Conference Paper)
Patelli, E., & Au, S. K. (2015). Efficient Monte Carlo algorithm for rare failure event simulation. In 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015.
Encyclopedia of Earthquake Engineering (Book)
Beer, M., Kougioumtzoglou, I. A., Patelli, E., & Au, S. -K. (Eds.) (2015). Encyclopedia of Earthquake Engineering. Springer Berlin Heidelberg. doi:10.1007/978-3-642-35344-4DOI: 10.1007/978-3-642-35344-4
Enhanced Bayesian Networks approach to risk assessment of spent fuel ponds (Conference Paper)
Tolo, S., Patelli, E., Beer, M., & Broggi, M. (2015). Enhanced Bayesian Networks approach to risk assessment of spent fuel ponds. In 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015.
LIKELIHOODS COMPARISON IN A BAYESIAN UPDATING PROCEDURE FOR FATIGUE CRACK DETECTION (Conference Paper)
Rocchetta, R., Broggi, M., Patelli, E., & Huchet, Q. (2015). LIKELIHOODS COMPARISON IN A BAYESIAN UPDATING PROCEDURE FOR FATIGUE CRACK DETECTION. In Safety and Reliability of Complex Engineered Systems: ESREL 2015 7-10 September. CRC Press / Balkema..
Moura, R., Beer, M., Lewis, J., & Patelli, E. (2015). Learning from accidents: Analysis and representation of human errors in multi-attribute events. In 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015.
MONTE-CARLO BASED RELIABILITY/AVAILABILITY ANALYSIS ALGORITHM FOR EFFICIENT MAINTENANCE PLANNING (Conference Paper)
George-Williams, H., & Patelli, E. (2015). MONTE-CARLO BASED RELIABILITY/AVAILABILITY ANALYSIS ALGORITHM FOR EFFICIENT MAINTENANCE PLANNING. In Transactions, SMiRT-23 Manchester, United Kingdom - August 10-14, 2015 Division VIII.
Preliminary evaluation of validation metrics for computational mechanics models (Conference Paper)
Dvurecenska, K., Patterson, E., Patelli, E., & Graham, S. (2015). Preliminary evaluation of validation metrics for computational mechanics models. In 10th International Conference on Advances in experimental Mechanics, 1-3 September, Heriot-Watt University, Edinburgh.
Reliability analysis of systems based on survival signature (Conference Paper)
Feng, G., Patelli, E., & Beer, M. (2015). Reliability analysis of systems based on survival signature. In 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015.
Subset Simulation Infinity algotithm: numerical examples and applications (Other)
Patelli, E., & Au, S. K. (2015). Subset Simulation Infinity algotithm: numerical examples and applications.
The Possibilities of Coal Power Plants Replacement with SMRS – A UK Case Study (Conference Paper)
Mlejnkova, P., & Patelli, E. (2015). The Possibilities of Coal Power Plants Replacement with SMRS – A UK Case Study. In Proceedings of the 13th International Probabilistic Workshop (IPW 2015), 4 – 6 November 2015 University of Liverpool, UK.
Liang, P., Diaz De La O, F. A., Patelli, E., & Mottershead, J. (2015). The use of Kriging in stochastic model updating and its effect on parameter estimates. In International Conference on Engineering Dynamics (ICEDyn 2015). Lagos, Portugal.
UNCERTAINTY MANAGEMENT AND RESILIENT DESIGN OF SAFETY CRITICAL SYSTEMS (Conference Paper)
Patelli, E., & Broggi, M. (2015). UNCERTAINTY MANAGEMENT AND RESILIENT DESIGN OF SAFETY CRITICAL SYSTEMS. In NAFEMS World Congress 2015 inc. the 2nd International SPDM Conference | San Diego, CA, 21-24 June 2015.
Patelli, E., Alvarez, D. A., Broggi, M., & de Angelis, M. (n.d.). Uncertainty management in multidisciplinary design of critical safety systems. Journal of Aerospace Information Systems, 12(1), 140-169. doi:10.2514/1.I010273DOI: 10.2514/1.I010273
Uncertainty management of critical safety systems: a solution to the problem of back-propagation (Conference Paper)
de Angelis, M., & Patelli, E. (2015). Uncertainty management of critical safety systems: a solution to the problem of back-propagation. In ICASP. Vancouver, Canada.
Uncertainty management of safety-critical systems: A solution to the back-propagation problem (Conference Paper)
De Angelis, M., Patelli, E., & Beer, M. (2015). Uncertainty management of safety-critical systems: A solution to the back-propagation problem. In 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015.
Uncertainty on shallow landslide hazard assessment: from field data to hazard mapping (Conference Paper)
Trefolini, E., Tolo, S., Patelli, E., Broggi, M., Disperati, L., & Le Tuan, H. (2015). Uncertainty on shallow landslide hazard assessment: from field data to hazard mapping. In Copernicus Meetings - Geophysical Research Abstracts,Vol. 17, EGU2015-PREVIEW, 2015.
2014
Image decomposition and uncertainty quantification for the assessment of manufacturing tolerances in stress analysis (Journal article)
Marcuccio, G., Bonisoli, E., Tornincasa, S., Mottershead, J. E., Patelli, E., & Wang, W. (2014). Image decomposition and uncertainty quantification for the assessment of manufacturing tolerances in stress analysis. JOURNAL OF STRAIN ANALYSIS FOR ENGINEERING DESIGN, 49(8), 618-631. doi:10.1177/0309324714533694DOI: 10.1177/0309324714533694
Conceptual Comparison of Bayesian Approaches and Imprecise Probabilities (Chapter)
Beer, M., DiazDelaO, F. A., Patelli, E., & Au, S. K. (2014). Conceptual Comparison of Bayesian Approaches and Imprecise Probabilities. In Unknown Book (Vol. 9, pp. 1-29). Civil-Comp, Ltd.. doi:10.4203/ctr.9.1DOI: 10.4203/ctr.9.1
Human error analysis: Review of past accidents and implications for improving robustness of system design (Chapter)
Human error analysis: Review of past accidents and implications for improving robustness of system design (2014). In Safety and Reliability: Methodology and Applications (pp. 1073-1082). CRC Press. doi:10.1201/b17399-150DOI: 10.1201/b17399-150
Moura, R., Beer, M., Patelli, E., Lewis, J., & Knoll, F. (2015). Human error analysis: Review of past accidents and implications for improving robustness of system design. In SAFETY AND RELIABILITY: METHODOLOGY AND APPLICATIONS (pp. 1037-1046). Retrieved from https://www.webofscience.com/
Mechanism design for risk allocation and benefit sharing in the development of a Geological Disposal Facility for nuclear radioactive waste (Chapter)
Mechanism design for risk allocation and benefit sharing in the development of a Geological Disposal Facility for nuclear radioactive waste (2014). In Safety and Reliability: Methodology and Applications (pp. 517-522). CRC Press. doi:10.1201/b17399-73DOI: 10.1201/b17399-73
Mechanism design for risk allocation and benefit sharing in the development of a Geological Disposal Facility for nuclear radioactive waste (Conference Paper)
Nieto-Cerezo, O., Patelli, E., Wenzelburger, J., & Beer, M. (2015). Mechanism design for risk allocation and benefit sharing in the development of a Geological Disposal Facility for nuclear radioactive waste. In SAFETY AND RELIABILITY: METHODOLOGY AND APPLICATIONS (pp. 481-486). Retrieved from https://www.webofscience.com/
Bayesian Network Approach for Risk Assessment of a Spent Nuclear Fuel Pond (Chapter)
Tolo, S., Patelli, E., & Beer, M. (2014). Bayesian Network Approach for Risk Assessment of a Spent Nuclear Fuel Pond. American Society of Civil Engineers. doi:10.1061/9780784413609.061DOI: 10.1061/9780784413609.061
Computation of the Sobol' Indices using Importance Sampling (Chapter)
Beaurepaire, P., Broggi, M., & Patelli, E. (2014). Computation of the Sobol' Indices using Importance Sampling. American Society of Civil Engineers. doi:10.1061/9780784413609.212DOI: 10.1061/9780784413609.212
Line Sampling for Assessing Structural Reliability with Imprecise Failure Probabilities (Chapter)
de Angelis, M., Patelli, E., & Beer, M. (2014). Line Sampling for Assessing Structural Reliability with Imprecise Failure Probabilities. American Society of Civil Engineers. doi:10.1061/9780784413609.093DOI: 10.1061/9780784413609.093
Model Updating by Uncertain Parameter Inference (Conference Paper)
Gomes, H. M., Broggi, M., Patelli, E., & Mottershead, J. E. (2014). Model Updating by Uncertain Parameter Inference. In Vulnerability, Uncertainty, and Risk. American Society of Civil Engineers. doi:10.1061/9780784413609.153DOI: 10.1061/9780784413609.153
OpenCossan: An Efficient Open Tool for Dealing with Epistemic and Aleatory Uncertainties (Chapter)
Patelli, E., Broggi, M., Angelis, M. D., & Beer, M. (2014). OpenCossan: An Efficient Open Tool for Dealing with Epistemic and Aleatory Uncertainties. American Society of Civil Engineers. doi:10.1061/9780784413609.258DOI: 10.1061/9780784413609.258
Reliability-Based Design of Fluid Viscous Damper for Seismic Protection of Building Frames (Chapter)
Tubaldi, E., Dall'Asta, A., Broggi, M., Patelli, E., & De Angelis, M. (2014). Reliability-Based Design of Fluid Viscous Damper for Seismic Protection of Building Frames. American Society of Civil Engineers. doi:10.1061/9780784413609.177DOI: 10.1061/9780784413609.177
Robust Design Optimization of Structural Systems Under Evolutionary Stochastic Seismic Excitation (Chapter)
Mitseas, I. P., Kougioumtzoglou, I. A., Beer, M., Patelli, E., & Mottershead, J. E. (2014). Robust Design Optimization of Structural Systems Under Evolutionary Stochastic Seismic Excitation. American Society of Civil Engineers. doi:10.1061/9780784413609.022DOI: 10.1061/9780784413609.022
A generalized numerical framework of imprecise probability to propagate epistemic uncertainty (Conference Paper)
Angelis, M. D., Patelli, E., & Beer, M. (2014). A generalized numerical framework of imprecise probability to propagate epistemic uncertainty. In 6th Conference on Reliable Engineering Computing (REC2014), May 25-28, 2014, IIT, Chicago, United States of America. Civil and Architectural Engineering department, Illinois Institute of Technology (IIT), USA..
An integrated and efficient numerical framework for uncertainty quantification: application to the NASA Langley multidisciplinary Uncertainty Quantification Challenge (Conference Paper)
Patelli, E., Alvarez, D. A., Broggi, M., & de Angelis, M. (2014). An integrated and efficient numerical framework for uncertainty quantification: application to the NASA Langley multidisciplinary Uncertainty Quantification Challenge. In 16th AIAA Non-Deterministic Approaches Conference. American Institute of Aeronautics and Astronautics. doi:10.2514/6.2014-1501DOI: 10.2514/6.2014-1501
Conceptual Directions in Uncertainty Quantification (Conference Paper)
Beer, M., Patelli, E., & Kougioumtzoglou, I. A. (2014). Conceptual Directions in Uncertainty Quantification. In European Safety and Reliability Conference (ESREL).
Editorial: Robust Design - Coping with Hazards Risk and Uncertainty (Journal article)
Patelli, E., Beer, M., & Kougioumtzoglou, I. A. (2014). Editorial: Robust Design - Coping with Hazards Risk and Uncertainty. International Journal Reliability and Safety, Special Issue, 8, 97-313. Retrieved from http://www.inderscience.com/
Maintenance and Safety of Aging Infrastructure (Chapter)
Beer, M., Kougioumtzoglou, I. A., & Patelli, E. (2014). Maintenance and Safety of Aging Infrastructure. In D. Frangopol, & Y. Tsompanakis (Eds.), Unknown Book (pp. 121-162). Taylor & Francis Publishers.
Model Updating by Uncertain Parameter Inference (Chapter)
Gomes, H., Broggi, M., Patelli, E., & Mottershead, J. (2014). Model Updating by Uncertain Parameter Inference. In Vulnerability, Uncertainty, and Risk (pp. 1523-1532). American Society of Civil Engineers. Retrieved from http://dx.doi.org/10.1061/9780784413609.153
The legacy of Prof. GI Schueller and recent advances on uncertainty quantification and reliability analysis (Conference Paper)
Patelli, E. (2014). The legacy of Prof. GI Schueller and recent advances on uncertainty quantification and reliability analysis. In EURODYN 2014: IX INTERNATIONAL CONFERENCE ON STRUCTURAL DYNAMICS (pp. 161-168). Retrieved from https://www.webofscience.com/
2013
An efficient strategy for computing interval expectations of risk (Conference Paper)
De Angelis, M., Patelli, E., & Beer, M. (2013). An efficient strategy for computing interval expectations of risk. In Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013 (pp. 2225-2232).
A BAYESIAN MODEL UPDATING PROCEDURE FOR DYNAMIC HEALTH MONITORING (Conference Paper)
Patelli, E., Broggi, M., & Beaurepaire, P. (2013). A BAYESIAN MODEL UPDATING PROCEDURE FOR DYNAMIC HEALTH MONITORING. In 4th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN 2013) Kos Island, Greece, June 12 - June 14, 2013. (pp. -).
A Bayesian Framework for Crack Detection in Structural Components Under Dynamic Excitation (Conference Paper)
Broggi, M., Beaurepaire, P., & Patelli, E. (2013). A Bayesian Framework for Crack Detection in Structural Components Under Dynamic Excitation. In 2013 PROGNOSTICS AND HEALTH MANAGEMENT CONFERENCE (PHM) Vol. 33 (pp. 127-132). doi:10.3303/CET1333022DOI: 10.3303/CET1333022
A Bayesian model updating procedure for dynamic health monitoring (Conference Paper)
Patelli, E., Broggi, M., & Beaurepaire, P. (2013). A Bayesian model updating procedure for dynamic health monitoring. In ECCOMAS Thematic Conference - COMPDYN 2013: 4th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, Proceedings - An IACM Special Interest Conference (pp. 1321-1331).
Geometrical and Dimensional Uncertainties Effects Quantification for Stress/Strain Field Characterization (Conference Paper)
Marcuccio, G., Mottershead, J., Bonisoli, E., Tornincasa, S., & Patelli, E. (2013). Geometrical and Dimensional Uncertainties Effects Quantification for Stress/Strain Field Characterization. In 2013 PROGNOSTICS AND HEALTH MANAGEMENT CONFERENCE (PHM) Vol. 33 (pp. 1099-1104). doi:10.3303/CET1333184DOI: 10.3303/CET1333184
On Robust Maintenance Scheduling of Fatigue-prone Structural Systems Considering Imprecise Probability (Conference Paper)
Patelli, E., Valdebenito, M. A., & De Angelis, M. (2013). On Robust Maintenance Scheduling of Fatigue-prone Structural Systems Considering Imprecise Probability. In 2013 PROGNOSTICS AND HEALTH MANAGEMENT CONFERENCE (PHM) Vol. 33 (pp. 1081-1086). doi:10.3303/CET1333181DOI: 10.3303/CET1333181
On general purpose software for the efficient uncertainty management of large Finite Element models (Conference Paper)
Patelli, E., & Broggi, M. (2013). On general purpose software for the efficient uncertainty management of large Finite Element models. In NAFEMS World Congress 2013 9-12 June 2013, Salzburg, Austria. -: NAFEMS.
2012
Computational optimization strategies for the simulation of random media and components (Journal article)
Patelli, E., & Schueller, G. I. (2012). Computational optimization strategies for the simulation of random media and components. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 53(3), 903-931. doi:10.1007/s10589-012-9463-1DOI: 10.1007/s10589-012-9463-1
An Upscaling Approach for Uncertainty Quantification of Stochastic Contaminant Transport through Fractured Media (Conference Paper)
Patelli, E. (2012). An Upscaling Approach for Uncertainty Quantification of Stochastic Contaminant Transport through Fractured Media. In Unknown Conference (pp. 261-272). Springer Berlin Heidelberg. doi:10.1007/978-3-642-33362-0_20DOI: 10.1007/978-3-642-33362-0_20
General purpose software for efficient uncertainty management of large finite element models (Journal article)
Patelli, E., Panayirci, H. M., Broggi, M., Goller, B., Beaurepaire, P., Pradlwarter, H. J., & Schueller, G. I. (2012). General purpose software for efficient uncertainty management of large finite element models. FINITE ELEMENTS IN ANALYSIS AND DESIGN, 51, 31-48. doi:10.1016/j.finel.2011.11.003DOI: 10.1016/j.finel.2011.11.003
An Open Computational Framework for Reliability Based Optimization (Conference Paper)
Patelli, E., & de Angelis, M. (2012, September 4). An Open Computational Framework for Reliability Based Optimization. In Civil-Comp Proceedings. Civil-Comp Press. doi:10.4203/ccp.99.203DOI: 10.4203/ccp.99.203
An open computational framework for reliability based optimization (Conference Paper)
Patelli, E., & De Angelis, M. (2012). An open computational framework for reliability based optimization. In Civil-Comp Proceedings Vol. 99.
An upscaling approach for uncertainty quantification of stochastic contaminant transport through fractured media (Conference Paper)
Patelli, E. (2012). An upscaling approach for uncertainty quantification of stochastic contaminant transport through fractured media. In The International Conference on Scalable Uncertainty Management (SUM) Vol. 7520 (pp. N/A). Marburg, Germany.: Springer.
Dealing with scarce information on engineering systems (Journal article)
Patelli, E. (2012). Dealing with scarce information on engineering systems. N/A, N/A, N/A.
Dealing with scarce information on engineering systems (Conference Paper)
de Angelis, M., Patelli, E., & Beer, M. (2012). Dealing with scarce information on engineering systems. In 6th EUROPEAN CONGRESS ON COMPUTATIONAL METHODS IN APPLIED SCIENCES AND ENGINEERING (ECCOMAS 2012) (pp. -).
OpenCossan: General purpose software for uncertainty quantification and management (Software / Code)
Patelli, E., & Broggi, M. (2012). OpenCossan: General purpose software for uncertainty quantification and management [Internet (free access)]. Liverpool.
openCossan (Other)
Patelli, E. (2012). openCossan. (pp. -). [online].
2011
General purpose stochastic analysis software for optimal maintenance scheduling: application to a fatigue-prone structural component (Journal article)
Patelli, E., Valdebenito, M. A., & Schueller, G. I. (2011). General purpose stochastic analysis software for optimal maintenance scheduling: application to a fatigue-prone structural component. International Journal of Reliability and Safety, 5(3/4), 211. doi:10.1504/ijrs.2011.041177DOI: 10.1504/ijrs.2011.041177
On multinormal integrals by Importance Sampling for parallel system reliability (Journal article)
Patelli, E., Pradlwarter, H. J., & Schueller, G. I. (2011). On multinormal integrals by Importance Sampling for parallel system reliability. STRUCTURAL SAFETY, 33(1), 1-7. doi:10.1016/j.strusafe.2010.04.002DOI: 10.1016/j.strusafe.2010.04.002
Soft-computing approach to solve ill-posed inverse problems: application to random materials and imperfect cylindrical shells (Journal article)
Patelli, E., & Schueller, G. I. (2011). Soft-computing approach to solve ill-posed inverse problems: application to random materials and imperfect cylindrical shells. INVERSE PROBLEMS IN SCIENCE AND ENGINEERING, 19(1), 87-102. doi:10.1080/17415977.2010.519026DOI: 10.1080/17415977.2010.519026
2010
Global sensitivity of structural variability by random sampling (Journal article)
Patelli, E., Pradlwarter, H. J., & Schueller, G. I. (2010). Global sensitivity of structural variability by random sampling. COMPUTER PHYSICS COMMUNICATIONS, 181(12), 2072-2081. doi:10.1016/j.cpc.2010.08.007DOI: 10.1016/j.cpc.2010.08.007
A general purpose software for reliability-based optimal design (Conference Paper)
Valdebenito, M. A., Patelli, E., & Schueller, G. I. (2010). A general purpose software for reliability-based optimal design. In REC 2010: PROCEEDINGS OF THE 4TH INTERNATIONAL WORKSHOP ON RELIABLE ENGINEERING COMPUTING: ROBUST DESIGN - COPING WITH HAZARDS, RISK AND UNCERTAINTY (pp. 3-22). doi:10.3850/978-981-08-5118-7_plenary-1DOI: 10.3850/978-981-08-5118-7_plenary-1
Monte Carlo gradient estimation in high dimensions (Journal article)
Patelli, E., & Pradlwarter, H. J. (2010). Monte Carlo gradient estimation in high dimensions. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 81(2), 172-188. doi:10.1002/nme.2687DOI: 10.1002/nme.2687
A general purpose code for computational stochastic analysis: application to the GOCE satellite of ESA (Other)
Patelli, E. (2010). A general purpose code for computational stochastic analysis: application to the GOCE satellite of ESA.
COSSAN-X: A General Purpose Code for Computational Stochastic Structural Analysis (Conference Paper)
Patelli, E., Schuëller, G. I., Pradlwarter, H. J., Valdebenito, M. A., Panayirci, H. M., Goller, B., . . . Beaurepaire, P. (2010). COSSAN-X: A General Purpose Code for Computational Stochastic Structural Analysis. In IV European Conference on Computational Mechanics (ECCOMAS),.
Monte Carlo gradient estimation in high dimensions (Journal article)
Patelli, E., & Pradlwarter, H. J. (2010). Monte Carlo gradient estimation in high dimensions. International Journal for Numerical Methods in Engineering, 81, 172-188. doi:10.1002/nme.2687DOI: 10.1002/nme.2687
2009
On optimization techniques to reconstruct microstructures of random heterogeneous media (Journal article)
Patelli, E., & Schueller, G. (2009). On optimization techniques to reconstruct microstructures of random heterogeneous media. COMPUTATIONAL MATERIALS SCIENCE, 45(2), 536-549. doi:10.1016/j.commatsci.2008.11.019DOI: 10.1016/j.commatsci.2008.11.019
Global Sensitivity of Structural Variability by Random Sampling (Conference Paper)
Schuëller, G. I., Pradlwarter, H. J., & Patelli, E. (2009). Global Sensitivity of Structural Variability by Random Sampling. In R. Iwankiewicz, & Z. Kotulski (Eds.), Stochastic Methods in Mechanics (SMIM): Status and Challenges.
Identification of the Microstructural Configurations of Random Materials (Conference Paper)
Patelli, E., & Schuëller, G. I. (2009). Identification of the Microstructural Configurations of Random Materials. In ECCOMAS International Symposium IPM 2009 on Inverse Problems in Mechanics of Structure and Materials.
Random Heterogeneous Media: Computational strategies for the analysis of random materials (Report)
Random Heterogeneous Media: Computational strategies for the analysis of random materials (2009). (IfM-Int.Work.Report No.: 3-59). Institute of Engineering Mechanics, University of Innsbruck, Austria, EU.
Random Heterogeneous Media: Computational strategies for the analysis of random materials (Report)
Patelli, E. (2009). Random Heterogeneous Media: Computational strategies for the analysis of random materials. Institute of Engineering Mechanics, University of Innsbruck , Austria, EU.
System Reliability Analysis: Integration Of The Fault Tree Analysis In Cossan-X (Report)
Patelli, E. (2009). System Reliability Analysis: Integration Of The Fault Tree Analysis In Cossan-X. Institute of Engineering Mechanics, University of Innsbruck, Austria, EU.
2008
Monte Carlo simulation of radionuclide transport through fractured media (Journal article)
Giacobbo, F., & Patelli, E. (2008). Monte Carlo simulation of radionuclide transport through fractured media. ANNALS OF NUCLEAR ENERGY, 35(9), 1732-1740. doi:10.1016/j.anucene.2008.01.021DOI: 10.1016/j.anucene.2008.01.021
An efficient Method to Reconstruct Random Heterogeneous Material Properties (Conference Paper)
Patelli, E., & Schuëller, G. I. (2008). An efficient Method to Reconstruct Random Heterogeneous Material Properties. In 8th World Congress on Computational Mechanics (WCCM8). Venice.
High Performance Computing: an overview and prospects of Grid Computing (Report)
Patelli, E. (2008). High Performance Computing: an overview and prospects of Grid Computing. Institute of Engineering Mechanics, University of Innsbruck, Austria, EU.
2007
Material Modelling: Comparison of Optimization Techniques for Microstructure Reconstruction of Random Heterogeneous Media (Report)
Patelli, E. (2007). Material Modelling: Comparison of Optimization Techniques for Microstructure Reconstruction of Random Heterogeneous Media. Institute of Engineering Mechanics - University of Innsbruck, Austria, EU.
Monte Carlo simulation of nonlinear reactive contaminant transport in unsaturated porous media (Journal article)
Giacobbo, F., & Patelli, E. (2007). Monte Carlo simulation of nonlinear reactive contaminant transport in unsaturated porous media. ANNALS OF NUCLEAR ENERGY, 34(1-2), 51-63. doi:10.1016/j.anucene.2006.11.011DOI: 10.1016/j.anucene.2006.11.011
On optimization Techniques to Reconstruct Microstructures of Random Heterogeneous Media (Conference Paper)
Patelli, E., & Schuëller, G. I. (2007). On optimization Techniques to Reconstruct Microstructures of Random Heterogeneous Media. In 9th US National Congress on Computational Mechanics.
2006
Assessment of the availability of an offshore installation by Monte Carlo simulation (Journal article)
Zio, E., Baraldi, P., & Patelli, E. (2006). Assessment of the availability of an offshore installation by Monte Carlo simulation. INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING, 83(4), 312-320. doi:10.1016/j.ijpvp.2006.02.010DOI: 10.1016/j.ijpvp.2006.02.010
Material Modelling (Literature Review) (Report)
Patelli, E. (2006). Material Modelling (Literature Review). University of Innsbruck: Institute of Engineering Mechanics, Leopold-Franzens University, Innsbruck, Austria, EU.
2005
A Monte Carlo simulation approach to the production availability evaluation of an offshore installation with operational loops (Conference Paper)
Zio, E., Baraldi, P., & Patelli, E. (2005). A Monte Carlo simulation approach to the production availability evaluation of an offshore installation with operational loops. In Advances in Safety and Reliability - Proceedings of the European Safety and Reliability Conference, ESREL 2005 Vol. 2 (pp. 2109-2117).
Monte Carlo Simulation of Radioactive Contaminant Transport in Unsaturated Porous media (Conference Paper)
Giacobbo, F., Patelli, E., & Zio, E. (2005). Monte Carlo Simulation of Radioactive Contaminant Transport in Unsaturated Porous media. In M&C 2005, Avignon-France September 12-15..
Monte Carlo Simulation of Radionuclides Groundwater Transport in presence of heterogeneities and nonlinearities (Conference Paper)
Giacobbo, F., Patelli, E., & Zio, E. (2005). Monte Carlo Simulation of Radionuclides Groundwater Transport in presence of heterogeneities and nonlinearities. In MIGRATION’05, Avignon-France September 18-23.
2004
A Nuclear Measurement Technique of Water Penetration in Concrete Barriers (Journal article)
Marseguerra, M., Padovani, E., Zio, E., & Patelli, F. G. E. (2004). A Nuclear Measurement Technique of Water Penetration in Concrete Barriers. Monte Carlo Methods and Applications, 10(3-4). doi:10.1515/mcma.2004.10.3-4.415DOI: 10.1515/mcma.2004.10.3-4.415
2003
Monte Carlo simulation of contaminant release from a radioactive waste deposit (Journal article)
Marseguerra, M., Zio, E., Patelli, E., Giacobbo, F., Ventura, G., & Mingrone, G. (2003). Monte Carlo simulation of contaminant release from a radioactive waste deposit. MATHEMATICS AND COMPUTERS IN SIMULATION, 62(3-6), 421-430. doi:10.1016/S0378-4754(02)00237-9DOI: 10.1016/S0378-4754(02)00237-9
Modeling the effects of the engineered barriers of a radioactive waste repository by Monte Carlo simulation (Journal article)
Marseguerra, M., Zio, E., Patelli, E., Giacobbo, F., Risoluti, P., Ventura, G., & Mingrone, G. (2003). Modeling the effects of the engineered barriers of a radioactive waste repository by Monte Carlo simulation. ANNALS OF NUCLEAR ENERGY, 30(4), 473-496. doi:10.1016/S0306-4549(02)00072-5DOI: 10.1016/S0306-4549(02)00072-5
A Monte Carlo approach to the solution of the coupled flow and transport problem in unsaturated concrete barriers (Conference Paper)
Marseguerra, M., Zio, E., Giacobbo, F., & Patelli, E. (2003). A Monte Carlo approach to the solution of the coupled flow and transport problem in unsaturated concrete barriers. In The Book of Abtracts (pp. 45).
A nuclear measurement technique of water penetration in concrete barriers (Conference Paper)
Marseguerra, M., Padovani, E., Zio, E., Giacobbo, F., & Patelli, E. (2003). A nuclear measurement technique of water penetration in concrete barriers. In The Book of Abtracts (pp. 45).
IVth IMACS Seminar on Monte Carlo Methods (Journal article)
IVth IMACS Seminar on Monte Carlo Methods (2003). Monte Carlo Methods and Applications, 9(1). doi:10.1515/156939603322587498DOI: 10.1515/156939603322587498
2002
Monte Carlo based assessment of the safety performance of a superficial repository for low level radioactive waste (Report)
Marseguerra, M., Zio, E., Patelli, E., & Giacobbo, F. (2002). Monte Carlo based assessment of the safety performance of a superficial repository for low level radioactive waste.
Simulazione Monte Carlo della dispersione di contaminante da un deposito di rifiuti radioattivi (Conference Paper)
Marseguerra, M., Zio, E., Patelli, E., Giacobbo, F., Ventura, G., Mingrone, G., & Risoluti, P. (2002). Simulazione Monte Carlo della dispersione di contaminante da un deposito di rifiuti radioattivi. In Atti del Convegno Nazionale Valutazione e Gestione del rischio negli insediamenti civili ed industriali. VGR2002, 15-17 ottobre 2002, Pisa, Italia (in italian)..
2001
Groundwater contaminant transport in presence of colloids II: sensitivity and uncertainty analysis on literature case studies (Journal article)
Marseguerra, M., Patelli, E., & Zio, E. (2001). Groundwater contaminant transport in presence of colloids II: sensitivity and uncertainty analysis on literature case studies. ANNALS OF NUCLEAR ENERGY, 28(18), 1799-1807. doi:10.1016/S0306-4549(01)00021-4DOI: 10.1016/S0306-4549(01)00021-4
Groundwater contaminant transport in presence of colloids I. A stochastic nonlinear model and parameter identification (Journal article)
Marseguerra, M., Patelli, E., & Zio, E. (2001). Groundwater contaminant transport in presence of colloids I. A stochastic nonlinear model and parameter identification. ANNALS OF NUCLEAR ENERGY, 28(8), 777-803. doi:10.1016/S0306-4549(00)00082-7DOI: 10.1016/S0306-4549(00)00082-7
Monte Carlo Simulation of the effects of Different Engineered Barriers on the Diffusion of Radioactive Contaminat (Conference Paper)
Giacobbo, F., Marseguerra, M., Patelli, E., & Zio, E. (2001). Monte Carlo Simulation of the effects of Different Engineered Barriers on the Diffusion of Radioactive Contaminat. In The Book of Abtracts (pp. 39).
