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| Adaptive subset simulation for structural reliability analysis |
| Received:June 11, 2012 Revised:September 15, 2012 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx201305006 |
| KeyWord:structural reliability failure probability Subset Simulation adaptive optimal sample size |
| Author | Institution |
| 陈向前 |
清华大学 土木工程系, 北京 |
| 董聪 |
清华大学 土木工程系, 北京 |
| 闫阳 |
清华大学 土木工程系, 北京 |
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| Abstract: |
| Structural reliability analysis requires accurate and efficient failure probability evaluation.Two Adaptive Subset Simulation(ASS) methods were developed in this paper to deal with the high dimensional nonlinear structural reliability problems.Stopping criteria of the proposed methods were based on the estimated coefficient of variation,which was more reasonable.The sample size of the proposed ASS methods could be adjusted adaptively according to the estimated coefficient of variation.The ASS method with optimal sample size was more efficient.The accuracy and efficiency of the two ASS methods were verified by a numerical example. |