• CN:11-2187/TH
  • ISSN:0577-6686

›› 2010, Vol. 46 ›› Issue (6): 195-198.

• 论文 • 上一篇    

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基于数论方法的结构可靠性分析

刘纪涛;张为华;王中伟   

  1. 国防科技大学航天与材料工程学院
  • 发布日期:2010-03-20

Structural Reliability Analysis Based on Number-theoretic Method

LIU Jitao;ZHANG Weihua;WANG Zhongwei   

  1. Institute of Aerospace and Material Engineering, National University of Defense Technology
  • Published:2010-03-20

摘要: 提出一种基于数论理论多元分布代表点的结构可靠性分析方法。利用均匀散布理论基于F-偏差准则得到均匀散布点集合,进而求解得到多元分布的代表点集合。之后将代表点作为随机变量通过循环迭代的方式计算失效函数,应用近似分布函数计算系统可靠度。作为数值仿真算例,应用此方法,对一具有非线性和变量相关性的梁的失效函数进行可靠性分析,并与JC法和Monte Carlo方法进行了比较。JC法计算速度快,但对于非线性方程计算精度一般。Monte Carlo方法计算精度高、稳健性好,但计算成本相当高。相比而言,数论代表点方法不需要巨量的样本点,有较好的计算效率,有较高的计算精度,而且可以简单的应用于与结构可靠性相关的各类问题,便于应用。

关键词: 代表点, 可靠性分析, 数论方法

Abstract: An analysis method of structural reliability is presented. It uses representative points of multivariate distribution based on number-theoretic. Uniformly scattered point set is obtained by using uniformly scattered theory based on F-Discrepancy. Using this set, the representative points of multivariate distribution are calculated. The values of failure function are obtained by using representative points as random variables under iterative method. The system reliability analysis is carried out by using approximate distribution function. As a numerical simulation example, this method is used to carry out reliability analysis of the failure function of a beam that has nonlinearity and variable correlations Comparison is made among JC method, Monte Carlo method and this method. The JC method is fast in calculation but not so accurate as Monte Carlo method in calculating nonlinear equations. Monte Carlo method is robust and accurate, but high in computational cost. The number-theoretic method is accurate and efficient without needing a great number of sample points. It can be easily applied to all kinds of problems related to structural reliability.

Key words: Number-theoretic method, Reliability analysis, Representative point

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