A convex model approach for structure non-probabilistic reliability analysis

被引：13
|
作者：
Yang, Zhengmao [1 ]
Zhang, Yanjuan [1 ]
Meng, Wenjun
Cai, Jianghui [2 ]
机构：
[1] Beijing Inst Technol, Sch Mech Engn, Beijing 100081, Peoples R China
[2] Taiyuan Univ Sci & Technol, Taiyuan, Shanxi, Peoples R China
来源：
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY | 2017年 / 231卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Reliability analysis; structural engineering; convex model; support vector machines; limit state function; RESPONSE-SURFACE APPROACH; NEURAL-NETWORK; PREDICTION; PARAMETERS;
D O I：
10.1177/1748006X17710817
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this article, a novel approach, that is, convex model method of set theory, is proposed to investigate the non-probabilistic reliability of bridge crane. Considering the metal structure system of the bridge crane, the finite element method is applied to obtain the stress response of the structure dangerous point. Then, the sample of stress response of the structure danger point and uncertain parameters are obtained. Finally, based on support vector machines, the structure implicit regression function of the system is replaced by explicit expression that calculates the non-probabilistic reliability of the structure. Results show that this approach is useful and efficient to solve the problem of non-probabilistic reliability in the metal structure.
引用
收藏
页码：508 / 515
页数：8
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