Fuzzy Reliability Analysis of Nonlinear Structural System Based on Stochastic Response Surface Method

Abstract:

Response surface method (RSM) is widely accepted as an efficient method for reliability analysis, especially when the limit state function (LSF) is supposed to be highly nonlinear or closed-form mechanical models to describe the complex structural systems are not available. However, the selection of different response surface functions may result in different computational accuracy and computing time. In this paper, stochastic response surface method (SRSM), in which Hermite polynomials are employed to approximate the real LSF, is adopted in this paper to analyze the fuzzy reliability of structural systems. With a beam presented as an example, traditional methods, such as FORM, JC method and sequence response surface method, and the method raised in the context are compared in case of the study on solving the reliability. The results show that fuzzy reliability analysis with SRSM is relatively much more efficient and less time-consuming, thus the method raised is more suitable for the analysis of this kind of problems.

• Periodical: Advanced Materials Research (Volumes 912-914)
• Pages: 1268-1271
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.912-914.1268
• Online since: April 2014
• Authors: Yun Ji*
• Keywords: Fuzzy Reliability Analysis, Limit State Function, Stochastic Response Surface Method, Structural Reliability

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