journal article·2006

The role of nondeterminism in model verification and validation

Ben H. Thacker, Mark C. Anderson, Paul E. Senseny, Edward A. Rodriguez

Publisher page

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. Development of guidelines and procedures for conducting a V&V programme are currently being defined by a broad spectrum of researchers. This paper briefly 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.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Probabilistic and Robust Engineering Design · Nuclear and radioactivity studies · Advanced Multi-Objective Optimization Algorithms

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References

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