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A NEW TWO-POINT ADAPTIVENONLINEAR APPROXIMATION METHOD FOR RELIABILITY ANALYSIS
作者姓名:LiuShutian
作者单位:State Key Laboratory of Structural Analysis of Industrial Equipment,Dalian University of Technology,Dalian 116024,China
摘    要:I. INTRODUCTION Reliability analysis is becoming increasingly important in structural design. Over the years, manyresearchers have been involved in the evaluation of failure probability and many methods have beenpresented for structural reliability anal…

关 键 词:概率分析  函数逼近  可靠性分析  双点自适应非线性近似  响应函数
收稿时间:6 November 2002

A New Two-Point Adaptive Nonlinear Approximation Method for Reliability Analysis
LiuShutian.A NEW TWO-POINT ADAPTIVENONLINEAR APPROXIMATION METHOD FOR RELIABILITY ANALYSIS[J].Acta Mechanica Solida Sinica,2004,17(2):150-157.
Authors:Shutian Liu
Institution:(1) State Key Laboratory of Structural Analysis of Industrial Equipment, Dalian University of Technology, 116024 Dalian, China
Abstract:A two-point adaptive nonlinear approximation (referred to as TANA4) suitable for reliability analysis is proposed. Transformed and normalized random variables in probabilistic analysis could become negative and pose a challenge to the earlier developed two-point approxi- mations; thus a suitable method that can address this issue is needed. In the method proposed, the nonlinearity indices of intervening variables are limited to integers. Then, on the basis of the present method, an improved sequential approximation of the limit state surface for reliability analysis is presented. With the gradient projection method, the data points for the limit state surface approximation are selected on the original limit state surface, which e?ectively repre- sents the nature of the original response function. On the basis of this new approximation, the reliability is estimated using a ?rst-order second-moment method. Various examples, including both structural and non-structural ones, are presented to show the e?ectiveness of the method proposed.
Keywords:reliability  function approximation  probabilistic analysis
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