Most-Probable-Point-Locus Reliability Method in Standard Normal Space

Author:

Khalessi M. R.1,Wu Y.-T.2,Torng T. Y.2

Affiliation:

1. Rockwell International Corporation

2. Southwest Research Institute

Abstract

Abstract This paper describes a new structural reliability analysis iteration procedure based on the concept of most probable point locus (MPPL). Using a new quadratic search algorithm, the proposed procedure examines the global behavior of the limit-state function, g, along the MPPL in the standard normal space in search of the most probable point (MPP) on the g = o surface, and identifies unusual conditions such as multiple MPPs. During the iteration procedure, the generated information is updated after each sensitivity analysis. This action helps the analyst to minimize the number of computer runs and determine the next step. By adopting two efficient convergence criteria, the proposed procedure is demonstrated to be significantly more efficient than the commonly used reliability analysis procedures, and is suitable to be integrated with existing general-purpose finite element computer programs for nondeterministic structural analysis.

Publisher

American Society of Mechanical Engineers

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. General outlook of UNIPASS™ V5.0: A general-purpose probabilistic software system;Structural Safety;2006-01

2. Practical Reliability- Based Design Optimization Strategy for Structural Design;Engineering Design Reliability Handbook;2004-12-22

3. Collaborative Reliability Analysis for Multidisciplinary Systems Design;9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization;2002-09-04

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