CORC  > 厦门大学  > 物理技术-已发表论文
Use of Relevance Vector Machine in Structural Reliability Analysis
Zhou, Changcong ; Lu, Zhenzhou ; Yuan, Xiukai ; Yuan XK(袁修开)
刊名http://dx.doi.org/10.2514/1.C031950
2013
关键词FAILURE PROBABILITIES APPROXIMATION SIMULATION
英文摘要Nature Science Foundation of China [51175425]; Research Fund for the Doctoral Program of Higher Education of China [20116102110003]; The applicability of a relevance vector machine to structural reliability analysis is introduced in this work. Samples covering the important domains in the input space are first generated and selected by a modified Metropolis algorithm. Then, the samples are employed to build a surrogate model with the help of a relevance vector machine to approximate the real performance function. The surrogate model is further used for reliability analysis as a substitution of the real one, as calls to the real performance function may be time consuming or cumbersome, especially in engineering cases. In this work, the relevance vector machine and the Metropolis algorithm are combined in an iterated learning process, constantly updating the samples used according to the convergence trend of the failure probabilities. Both numerical and engineering examples have been analyzed and discussed with the proposed method, as well as comparisons to some other classical reliability methods. The research in this work shows that the proposed method based on the relevance vector machine is a viable alternative for structural reliability analysis.
语种英语
出版者AMER INST AERONAUTICS ASTRONAUTICS
内容类型期刊论文
源URL[http://dspace.xmu.edu.cn/handle/2288/91800]  
专题物理技术-已发表论文
推荐引用方式
GB/T 7714
Zhou, Changcong,Lu, Zhenzhou,Yuan, Xiukai,et al. Use of Relevance Vector Machine in Structural Reliability Analysis[J]. http://dx.doi.org/10.2514/1.C031950,2013.
APA Zhou, Changcong,Lu, Zhenzhou,Yuan, Xiukai,&袁修开.(2013).Use of Relevance Vector Machine in Structural Reliability Analysis.http://dx.doi.org/10.2514/1.C031950.
MLA Zhou, Changcong,et al."Use of Relevance Vector Machine in Structural Reliability Analysis".http://dx.doi.org/10.2514/1.C031950 (2013).
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