基于区间有限元的结构广义可靠度分析
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  • 英文篇名:Generalized reliability analysis of structues based on interval finite element
  • 作者:吕大刚 ; 宋彦 ; 辛瑞娇
  • 英文作者:LV DaGang;SONG Yan;XIN RuiJiao;Key Laboratory of Structures Dynamic Behavior and Control of China Ministry of Education, Harbin Institute of Technology;School of Civil Engineering, Harbin Institute of Technology;
  • 关键词:广义可靠度 ; 区间分析 ; 一次可靠度方法 ; 蒙特卡罗模拟法 ; 平面桁架
  • 英文关键词:generalized reliability;;interval analysis;;FORM;;MCS;;plane truss
  • 中文刊名:JGXK
  • 英文刊名:Scientia Sinica(Physica,Mechanica & Astronomica)
  • 机构:哈尔滨工业大学结构工程灾变与控制教育部重点实验室;哈尔滨工业大学土木工程学院;
  • 出版日期:2018-01-01
  • 出版单位:中国科学:物理学 力学 天文学
  • 年:2018
  • 期:v.48
  • 基金:国家自然科学基金(编号:51678209,51378162)资助
  • 语种:中文;
  • 页:JGXK201801009
  • 页数:12
  • CN:01
  • ISSN:11-5848/N
  • 分类号:83-94
摘要
相对于只考虑随机性的狭义(或经典)结构可靠度理论,进一步考虑随机性、模糊性、未确知性的结构可靠度理论称为"结构广义可靠度",最早由王光远院士于20世纪80年代提出.本文介绍了作者所在团队近年来在结构广义可靠度理论方面所取得的一些成果.首先介绍了区间数学和区间有限元的基本概念,然后以区间有限元为工具,重点研究了3种类型不确定性情况下结构广义可靠度分析方法:第一种情况同时考虑基本变量的随机性与未确知性,未确知性以区间变量形式体现在随机变量的参数中;第二种情况为随机性与模糊性处于分离状态,即基本变量是随机的,而失效准则是模糊的;第三种情况为随机性与模糊性处于耦合状态,模糊性以模糊数形式体现在随机变量的参数中.采用区间蒙特卡罗模拟(IntMCS)技术和区间一次可靠度方法(IntFORM),提出并发展了上述3种情况下结构广义可靠度的分析方法.以一个平面桁架结构为例,展示了上述方法的适用性和有效性.
        Relative to the special structure reliability theory only considering randomness, the advanced theory is called generalized reliability which considers randomness, fuzziness and unascertainty at the same time. This theory was first proposed by Wang GuangYuan academician in 1980 s. In this thesis, some research results of the team of authors are introduced.Fuzziness is considered by the fuzzy mathematics and unascertainty is reckoned with the interval mathematics. First,some basic conceptions of interval math and interval finite element are introduced. Then generalized reliability analysis methods of three kinds of uncertainty conditions are discussed with the tool of interval finite element. In the first condition,both randomness and unascertainty are considered and the parameters of the random variables are interval variables. The second condition is that randomness and fuzziness are separated. The basic variables are random and the failure criterion is fuzzy. Randomness and fuzziness are coupling in the third condition. The parameters of the random variables are fuzzy numbers to reflect fuzziness. Finally, authors propose and develop the generalized reliability analysis methods of this three cases using the interval Monte Carlo Simulation(IntMCS) and the interval First Order Reliability Method(IntFORM). By means of a plane truss example, the applicability and effectiveness of these methods are shown. After a series of research,some conclusions can be summarized. The IntFORM proposed in this thesis has enough computational accuracy and more computational efficiency than IntMCS. Therefore, this method can be used in the reliability analysis of large-scale structures.
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