Importance Sampling in Structural System Reliability

by Gongkang Fu, Univ of Colorado, United States,
Fred Moses, Univ of Colorado, United States,



Document Type: Proceeding Paper

Part of: Probabilistic Methods in Civil Engineering

Abstract:

In structural system reliability analysis, it is frequently necessary to resort to Monte Carlo simulation (MCS). This paper focuses on Importance Sampling, an advanced MCS method, which greatly improves the efficiency and accuracy. The development in this area is reviewed, the importance of proper determination of sampling distribution is then emphasized and a new sampling distribution (WGNSD) is introduced. This method is general and various applications presented verify its success.



Subject Headings: Structural reliability | Structural systems | Monte Carlo method | Probability | Failure analysis | Structural failures | System reliability | Monte Carlo | Monaco | Europe

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