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Home > TERATEC FORUM > Workshop 5
HPC and Simulation Impacts on Engineering Process
Verification and Validation in Computational Engineering and Sciences
Serge PRUDHOMME, Institute for Computational Engineering and Sciences, University of Texas at Austin, Ecole Polytechnique de Montreal, King Abdullah University of Sciences and technology (KAUST)
Predictive Science has recently been coined in the literature to describe the rigorous study of all factors affecting the reliability of computer simulations and the quantification of uncertainties that may be involved in the delivery of these predictions.
It is envisioned as a complete framework in computational science that encompasses mathematical models of physical events, numerical solutions, computer codes, model parameters, experimental data and its uncertainties, with the main purpose of predicting key quantities of interest and their degree of uncertainty and of providing a basis for critical decisions in virtually all areas of engineering and science.
Predictive Science relies on statistical inverse analysis in order to transform the art of model calibration and comparison of model predictions with experimental data into a rigorous discipline, involving, in particular, Verification & Validation and Uncertainty Quantification. Verification is the process of determining the accuracy with which a computational model can produce results deliverable by the mathematical model on which it is based. Validation is the process of determining the accuracy with which a model can predict observed physical events (or important features of a physical reality).
The objectives of this talk will be to present recent advances in techniques and methodologies for verification and validation.
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Serge Prudhomme joined the Department of Mathematics and Industrial Engineering at Ecole Polytechnique de Montréal in 2012. Prior to his appointment at Poly Montréal, he held positions at the Institute for Computational Engineering and Sciences at The University of Texas at Austin, first as research associate from 2001 to 2004, then as research scientist. His research interests cover a wide range of topics in computational engineering and sciences, but have long focused on the development of reliable and efficient computational methods for the prediction of physical phenomena. He is generally interested in a posteriori error estimation and adaptive methods for numerical approximations of partial differential equations and has contributed to the development of so-called goal-oriented methods to control discretization and modeling errors. These adjoint-based approaches have been applied, for example, to the simulation of multiscale problems for selection of the regions in which fine-scale and coarse-scale models should be used. He has been working more recently on the development of verification and validation processes for predictive simulation-based engineering and science. Serge Prudhomme has published more than 50 peer-reviewed articles and book chapters in scientific journals and has given more than 75 invited talks and short courses at international conferences and workshops. He graduated from Ecole Centrale de Lille, France, in 1991 with a diploma in engineering and received an M.Sc. in Mechanical and Aerospace Engineering from the University of Virginia, USA, in 1992. He then earned a Ph.D. in 1999 in Aerospace Engineering from The University of Texas at Austin. |
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