Artificial intelligence -unzipping method in structural system reliability analysis
Artificial intelligence -unzipping method in structural system reliability analysis
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DOI：
10.1016/0045-7949(95)00423-8
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发表时间：
1996-06
影响因子：
4.7
通讯作者：
Kaisheng Chen;Shengkun Zhang;Wei Huang
中科院分区：
文献类型：
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作者：
Kaisheng Chen;Shengkun Zhang;Wei Huang
通过将结构系统可靠性分析中的β-解压缩方法与人工智能（A.I.）技术中的问题求解方法进行比较，更新传统的β-解压缩方法并将其应用于空间框架结构的系统可靠性分析。在本文中，人工智能中问题解决方法的启发式状态空间搜索方法的思想。受雇。建立并定义临界故障概率。将其视为路径值，即计算机自动识别关键故障路径的解决问题的启发信息。对典型船舶结构进行分析，验证所提方法的有效性和准确性。
By comparing the β-unzipping method in a structural system reliability analysis with the problem-solving method used in the artificial intelligence (A.I.) technique, the traditional β-unzipping method is updated and used in a system reliability analysis for space frame structures. In this paper, the idea of heuristic state-space search approach of the problem-solving methods in A.I. is employed. The critical failure probability is established and defined. It is taken as the path value, i.e. the heuristic information in problem-solving to identify the critical failure paths automatically by computer. Typical ship structures are analysed to verify the efficiency and accuracy of the proposed method.