The role of nondeterminism in model verification and validation
Source abstract
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
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References
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