The Role of Nondeterminism in Computational Model Verification and Validation

Abstract

Model verification and validation (V&V) is an enabling methodology for the development of computational models that can be used to make engineering predictions with quantified confidence. Model V&V procedures are needed to reduce the time, cost, and risk associated with component and full-scale testing of products, materials, and engineered systems. Quantifying the confidence and predictive accuracy of model calculations provides the decision-maker with the information necessary for making high-consequence decisions. This paper reviews the main concepts involved in model V&V and then focuses on the critical role that nondeterministic analysis plays in the V&V process.

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