期刊
STRUCTURAL SAFETY
卷 52, 期 -, 页码 161-169出版社
ELSEVIER
DOI: 10.1016/j.strusafe.2014.02.003
关键词
Adaptive Metropolis; Importance sampling; Markov chain simulation; Reliability; Wavelet
资金
- National Natural Science Foundation of China [10902028]
- Australian Research Council [DP110104263]
- International Program Development Fund from the University of Sydney
This paper presents a new importance sampling method for efficient structural reliability assessment. The method utilizes the adaptive Markov chain simulation to generate samples that can adaptively populate the important region. The importance sampling density is then constructed using nonparametric wavelet density estimation technique. This approach takes advantage of the attractive properties of the Daubechies' wavelet family (e.g., localization, various degrees of smoothness, and fast implementation) to provide good density estimations. Four examples including a finite element-based reliability analysis are given to demonstrate the proposed method. Comparisons of the new method and the classical kernel-based importance sampling are made. (C) 2014 Elsevier Ltd. All rights reserved.
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