Issues in the Validation of Probabilistic Methods

by Bruce Ellingwood, Johns Hopkins Univ, United States,
M. K. Ravindra, Johns Hopkins Univ, United States,



Document Type: Proceeding Paper

Part of: Structural Design, Analysis and Testing

Abstract: Probabilistic models are being used increasingly in safety assessments and regulatory decision-making. There is a need to relate the risks computed using these models to service data in order to enhance their credibility and acceptance for codification and regulatory purposes. Severe limitations on the data make the validation process difficult. Validation needs vary depending on the purposes of the risk analysis and at different stages of the analysis.

Subject Headings: Risk management | Probability | Data processing | Validation | Failure analysis | Decision making | Structural failures | Sensitivity analysis

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