NAFEMS Webinar Series

Verification and Validation (V&V):Quantifying Prediction Uncertainty and Demonstrating Simulation Credibility

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Webinar Recording

Follow-up to Q&A Session

(Note: This broadcast is part of the NAFEMS vendor series that allows various solutions providers the opportunity to deliver technical information to the NAFEMS community. NAFEMS does not endorse any vendor, but tries to provide an unbiased view of the marketplace.)

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 presentation offers an introduction to the main concepts of V&V and lessons learned after fifteen years of research, development, and application of V&V technology at the Los Alamos National Laboratory (LANL).

The discussion is somewhat restricted to Structural Dynamics even though V&V at LANL 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.

Agenda

Welcome & Introduction
Matthew Ladzinski, NAFEMS North America

Verification and Validation (V&V): Quantifying Prediction Uncertainty and Demonstrating Simulation Credibility Dr. François M. Hemez, Los Alamos National Laboratory

Q & A Session

Closing

Related White Papers:

Webinar attendees will receive the following white papers authored by Dr. François M. Hemez:

• Answering the Questions of Sufficiency: How Much Uncertainty is Enough?
• 15 Years of Verifying and Validating Structural Dynamics Simulations at Los Alamos (U)

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