Photo of Dr Francisco Alejandro Diaz De La O

Dr Francisco Alejandro Diaz De La O Dr.

Lecturer Civil Engineering and Industrial Design

Publications

2018

An experimental study on the manufacture and characterization of in-plane fibre-waviness defects in composites (Journal article)

Christian, W., DiazDelaO, F. A., Atherton, K., & Patterson, E. A. (2018). An experimental study on the manufacture and characterization of in-plane fibre-waviness defects in composites. Royal Society Open Science, 5(5). doi:10.1098/rsos.180082

DOI: 10.1098/rsos.180082

How Accurate Are Expert Estimations of Correlation? (Conference Paper)

Beer, M., Gong, Z., Diaz De La, O. F. A., & Kreinovich, V. (2017). How Accurate Are Expert Estimations of Correlation?. In 2017 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE. doi:10.1109/ssci.2017.8280790

DOI: 10.1109/ssci.2017.8280790

Strain-based damage assessment for accurate residual strength prediction of impacted composite laminates (Journal article)

Christian, W. J. R., DiazDelaO, F. A., & Patterson, E. A. (2018). Strain-based damage assessment for accurate residual strength prediction of impacted composite laminates. Composite Structures, 184, 1215-1223. doi:10.1016/j.compstruct.2017.10.022

DOI: 10.1016/j.compstruct.2017.10.022

2017

Probabilistic sensitivity analysis to understand the influence of micromechanical properties of wood on its macroscopic response (Journal article)

Hristov, P. O., Diaz De La O, F. A., Saavedra Flores, E. I., Guzmán, C. F., & Farooq, U. (2017). Probabilistic sensitivity analysis to understand the influence of micromechanical properties of wood on its macroscopic response. Composite Structures, 181, 229-239. doi:10.1016/j.compstruct.2017.08.105

DOI: 10.1016/j.compstruct.2017.08.105

Robust Empirical Predictions of Residual Performance of Damaged Composites with Quantified Uncertainties (Journal article)

Christian, W., Patterson, E. A., & Diaz de la O, F. A. (2017). Robust Empirical Predictions of Residual Performance of Damaged Composites with Quantified Uncertainties. Journal of Nondestructive Evaluation, 36(2). doi:10.1007/s10921-017-0416-6

DOI: 10.1007/s10921-017-0416-6

Bayesian updating and model class selection with Subset Simulation (Journal article)

Diaz De La O, F. A., Garbuno-Inigo, A., Au, S. K., & Yoshida, I. (2017). Bayesian updating and model class selection with Subset Simulation. Computer Methods in Applied Mechanics and Engineering, 317, 1102-1121. doi:10.1016/j.cma.2017.01.006

DOI: 10.1016/j.cma.2017.01.006

2016

Gaussian process hyper-parameter estimation using Parallel Asymptotically Independent Markov Sampling (Journal article)

Garbuno Inigo, A., DiazDeLaO, F. A., & Zuev, K. M. (2016). Gaussian process hyper-parameter estimation using Parallel Asymptotically Independent Markov Sampling. Computational Statistics & Data Analysis, 103, 367-383. doi:10.1016/j.csda.2016.05.019

DOI: 10.1016/j.csda.2016.05.019

Transitional annealed adaptive slice sampling for Gaussian process hyper-parameter estimation (Journal article)

Garbuno Inigo, A., Diaz De La O, F. A., & Zuev, K. (2016). Transitional annealed adaptive slice sampling for Gaussian process hyper-parameter estimation. International Journal for Uncertainty Quantification, 6(4), 341-359. doi:10.1615/Int.J.UncertaintyQuantification.2016018590

DOI: 10.1615/Int.J.UncertaintyQuantification.2016018590

Uncertainty quantification in DIC with Kriging regression (Journal article)

Wang, D., Diaz De La O, F. A., Wang, W. V., Lin, X., Patterson, E., & Mottershead, J. (2016). Uncertainty quantification in DIC with Kriging regression. Optics and Lasers in Engineering, 78, 182-195. doi:10.1016/j.optlaseng.2015.09.006

DOI: 10.1016/j.optlaseng.2015.09.006

2015

Analysis of cross-laminated timber by computational homogenisation and experimental validation (Journal article)

Saavedra Flores, E. I., Dayyani, I., Ajaj, R. M., Castro-Triguero, R., DiazDelaO, F. A., Das, R., & González Soto, P. (2015). Analysis of cross-laminated timber by computational homogenisation and experimental validation. Composite Structures, 121, 386-394. doi:10.1016/j.compstruct.2014.11.042

DOI: 10.1016/j.compstruct.2014.11.042

Full-field digital image correlation with Kriging regression (Journal article)

Wang, D., Diaz De La O, F. A., Wang, W., & Mottershead, J. (2020). Full-field digital image correlation with Kriging regression. Optics and Lasers in Engineering, 67, 105-115. doi:10.1016/j.optlaseng.2014.11.004

DOI: 10.1016/j.optlaseng.2014.11.004

The use of Kriging in stochastic model updating and its effect on parameter estimates (Conference Paper)

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.

2014

Probabilistic Sensitivity Analysis of Corrugated Skins with Random Elastic Parameters and Surface Topology (Conference Paper)

Diaz De la O, F. A., Kundu, A., Friswell, M. I., & Adhikari, S. (2014). Probabilistic Sensitivity Analysis of Corrugated Skins with Random Elastic Parameters and Surface Topology. In Vulnerability, Uncertainty, and Risk. American Society of Civil Engineers. doi:10.1061/9780784413609.159

DOI: 10.1061/9780784413609.159

A hybrid spectral and metamodeling approach for the stochastic finite element analysis of structural dynamic systems (Journal article)

Kundu, A., DiazDelaO, F. A., Adhikari, S., & Friswell, M. I. (2014). A hybrid spectral and metamodeling approach for the stochastic finite element analysis of structural dynamic systems. Computer Methods in Applied Mechanics and Engineering, 270, 201-219. doi:10.1016/j.cma.2013.11.013

DOI: 10.1016/j.cma.2013.11.013

Approximate Bayesian Computation for Finite Element Model Updating (Conference Paper)

DiazDelaO, F. A., Gomes, H. M., & Mottershead, J. E. (2014). Approximate Bayesian Computation for Finite Element Model Updating. In Unknown Conference (pp. 301-306). Springer International Publishing. doi:10.1007/978-3-319-04552-8_29

DOI: 10.1007/978-3-319-04552-8_29

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 Computational Technology Reviews (pp. .). Stirling, UK: Saxe-Coburg Publications.

Inferring Structural Variability Using Modal Analysis in a Bayesian Framework (Conference Paper)

Gomes, H. M., DiazDelaO, F. A., & Mottershead, J. E. (2014). Inferring Structural Variability Using Modal Analysis in a Bayesian Framework. In Unknown Conference (pp. 363-373). Springer International Publishing. doi:10.1007/978-3-319-04552-8_36

DOI: 10.1007/978-3-319-04552-8_36

Investigation on the extensibility of the wood cell-wall composite by an approach based on homogenisation and uncertainty analysis (Journal article)

Saavedra Flores, E. I., DiazDelao, F. A., & Friswell, M. I. (2014). Investigation on the extensibility of the wood cell-wall composite by an approach based on homogenisation and uncertainty analysis. Composite Structures, 108, 212-222.

Mathematical modelling of the stochastic mechanical properties of wood and its extensibility at small scales (Journal article)

Saavedra Flores, E. I., DiazDelaO, F. A., Ajaj, R. M., Friswell, M. I., & Fernando, G. F. (2014). Mathematical modelling of the stochastic mechanical properties of wood and its extensibility at small scales. Applied Mathematical Modelling.

Optimal sensor placement in timber structures by means of a multi-scale approach with material uncertainty (Journal article)

Castro-Triguero, R., Flores Saavedra, E. I., DiazDelaO, F. A., Friswell, M. I., & Gallego, R. (2014). Optimal sensor placement in timber structures by means of a multi-scale approach with material uncertainty. Structural Control and Health Monitoring.

Span Morphing Using the Compliant Spar (Journal article)

Ajaj, R., Saavedra Flores, E., Friswell, M. I., & DiazDelaO, F. A. (2014). Span Morphing Using the Compliant Spar. ASCE Journal of Aerospace Engineering.

2013

Stochastic structural dynamic analysis using Bayesian emulators (Journal article)

DiazDelaO, F. A., Adhikari, S., Saavedra Flores, E. I., & Friswell, M. I. (2013). Stochastic structural dynamic analysis using Bayesian emulators. Computers & Structures, 120, 24-32.

2012

A computational approach for the random mechanical response of foam-filled honeycomb cores (Conference Paper)

Saavedra Flores, E. I., DiazDelaO, F. A., Friswell, M. I., & Sienz, J. (2012). A computational approach for the random mechanical response of foam-filled honeycomb cores. In -. Honolulu, HI: AIAA.

A computational multi-scale approach for the stochastic mechanical response of foam-filled honeycomb cores (Journal article)

Saavedra Flores, E. I., DiazDelao, F. A., Friswell, M. I., & Sienz, J. (2012). A computational multi-scale approach for the stochastic mechanical response of foam-filled honeycomb cores. Composite Structures, 94(5), 1861-1870.

Bayesian assimilation of multi-fidelity finite element models (Journal article)

DiazDelaO, F. A., & Adhikari, S. (2012). Bayesian assimilation of multi-fidelity finite element models. Computers & Structures, 92-93, 206-215.

Bayesian assimilation of multi-fidelity stochastic finite element models (Conference Paper)

DiazDelaO, F. A., Adhikari, S., & Friswell, M. I. (2012). Bayesian assimilation of multi-fidelity stochastic finite element models. In -. Vienna: ECCOMAS.

2011

Gaussian process emulators for the stochastic finite element method (Journal article)

DiazDelaO, F. A., & Adhikari, S. (2011). Gaussian process emulators for the stochastic finite element method. International Journal for Numerical Methods in Engineering, 87(6), 521-540.

2010

Structural dynamic analysis using Gaussian process emulators (Journal article)

DiazDelaO, F. A., & Adhikari, S. (2010). Structural dynamic analysis using Gaussian process emulators. Engineering Computations, 27(5), 580-605.

2009

Coupling polynomial chaos expansions with Gaussian process emulators: An introduction (Conference Paper)

DiazDelaO, F. A., & Adhikari, S. (2009). Coupling polynomial chaos expansions with Gaussian process emulators: An introduction. In -. Orlando, FL: Society for Experimental Mechanics.

Gaussian process emulators for dynamical systems with random parameters (Conference Paper)

DiazDelaO, F. A., & Adhikari, S. (2009). Gaussian process emulators for dynamical systems with random parameters. In -. Osaka: International Association for Structural Safety and Reliability.

2008

Bayesian emulator approach for complex dynamical systems (Conference Paper)

DiazDelaO, F. A., & Adhikari, S. (2008). Bayesian emulator approach for complex dynamical systems. In -. Schamburg, IL: AIAA.

Bayesian emulators and the stochastic finite element method (Conference Paper)

DiazDelaO, F. A., & Adhikari, S. (2008). Bayesian emulators and the stochastic finite element method. In -. Athens: Civil-Comp Press.