| Description: |
Dr. François M. Hemez, Ph.D., Los Alamos National Laboratory.
The goal of the workshop is to provide training in the areas of Verification and Validation (V&V) and Quantification of Prediction Uncertainty. Verification and Validation (V&V) refers to a broad range of activities that are carried out to provide evidence that measurements and predictions are credible and scientifically defendable. This Workshop offers an introduction to the main concepts of V&V and lessons learned through fifteen years of research, development, and application of V&V technology at the Los Alamos National Laboratory (LANL). The discussion centers on examples from Structural Dynamics even though V&V reaches across software quality assurance, verification, data analysis and archiving, engineering simulation, computational physics and astrophysics simulation, and the quantification of uncertainty. While high-level concepts are emphasized, references are made available for the implementation of specific tools or application case studies. The cornerstone of V&V is threefold with, first, showing whenever possible that predictions of numerical simulations are accurate relative to test data over a range of settings or operating conditions; second, quantifying the sources and levels of prediction uncertainty; and, third, demonstrating that predictions are robust, that is, insensitive, to the modeling assumptions and lack-of-knowledge. |