Model Validation Standards & Guidance
Engineering context for standards governing model validation — scope, evidence requirements and relationship to probabilistic assessment. Always refer to the current official source.
Scope
Model validation standards provide frameworks for assessing whether a computational model adequately represents the physical system. ASME V&V 10 and V&V 20 address validation in computational solid mechanics and fluid dynamics respectively. The standards define validation metrics, evidence requirements and the treatment of validation uncertainty.
Relationship to probabilistic assessment
In a probabilistic assessment, model-form uncertainty is one component of the total uncertainty. Validation quantifies the model-form uncertainty by comparing model predictions with test data. A validated model has a quantified model-form uncertainty that can be included in the probabilistic analysis. An unvalidated model has an unquantified model-form uncertainty that represents a gap in the assessment.
Important note
This article explains the scope and engineering relevance of model validation standards. It does not reproduce standard content or acceptance criteria. Always refer to the current official edition.