Methods to Estimate Parametric Sensitivity in Structural Reliability Analysis

by A. Karamchandani, Stanford Univ, United States,
P. Bjerager, Stanford Univ, United States,
C. A. Cornell, Stanford Univ, United States,



Document Type: Proceeding Paper

Part of: Probabilistic Methods in Civil Engineering

Abstract: Many different approaches are used in structural system reliability to estimate the probability of failure. In this paper, methods to obtain the sensitivity to the distribution parameters for the different approaches are discussed. For simulation based approaches (e.g., Monte Carlo simulation, importance sampling, etc.) a new method is proposed. The method does not require generation of new samples or re-evaluation of the failure criterion. An example illustrating the method is presented.

Subject Headings: Structural analysis | Structural reliability | Parameters (statistics) | Sensitivity analysis | System reliability | Failure analysis | Structural systems | Structural failures | Probability | Europe | Monaco | Monte Carlo

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