文档介绍：Invited Paper for Session B1
Verification and Validation for Modeling and Simulation
putational Science and Engineering Applications
Foundations for Verification and Validation in the 21st Century Workshop
October 22-23, 2002
Johns Hopkins University/Applied Physics Laboratory
Laurel, Maryland
Verification, Validation, and Predictive Capability
putational Engineering and Physics
William L. Oberkampf
Validation and Uncertainty Estimation Department
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Timothy G. Trucano
Optimization and Uncertainty Estimation Department
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Sandia National Laboratories
P. O. Box 5800
Albuquerque, New Mexico 87185
Charles Hirsch
Department of Fluid Mechanics
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Vrije Universiteit Brussel
Brussels, Belgium
Summary
Computer simulations of physical processes are being relied on to an increasing degree for
design, performance, reliability, and safety of engineered systems. Computational analyses have
addressed the operation of systems at design conditions, off-design conditions, and accident
scenarios. For example, the safety aspects of products or systems can represent an important,
sometimes dominant, element of numerical simulations. The potential legal and liability costs of
hardware failures can be staggering to pany, the environment, or the public. This
consideration is especially crucial, given that we may be interested in high-consequence systems
that cannot ever be physically tested, including the catastrophic failure of a full-scale containment
building for a nuclear power plant, explosive damage to a high-rise office building, ballistic missile
defense systems, and a nuclear weapon involved in a transportation accident.
Developers puter codes, analysts who use the codes, and decision makers who rely on
the results of the analyses face a critical question: How should confidence in modeling and
simulation be critically assessed? Verification and validation (V&V) putational