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Fuzzy finite element reliability analysis of structures by interval MCS and interval FORM

  • D. G. Lu
  • , P. Y. Song
  • , R. J. Xin
  • , X. H. Yu
  • School of Civil Engineering, Harbin Institute of Technology
  • Tongji University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The conventional finite element reliability method seldom considers the fuzzy uncertainty and the interval variables. In this paper, an interval Monte Carlo simulation (MCS) and an interval first order reliability method (FORM) implementing finite element methods (FEM) are developed to analyze a specific fuzzy reliability problem with fuzzy failure criteria and random variables with interval parameters. To examine the performance of the presented method, a truss structure is used as the numerical example. The results show that the interval failure probabilities by use of the two methods are quite close, while the interval FORM is more efficient than the interval MCS.

Original languageEnglish
Title of host publicationSafety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013
Pages411-415
Number of pages5
StatePublished - 2013
Externally publishedYes
Event11th International Conference on Structural Safety and Reliability, ICOSSAR 2013 - New York, NY, United States
Duration: 16 Jun 201320 Jun 2013

Publication series

NameSafety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013

Conference

Conference11th International Conference on Structural Safety and Reliability, ICOSSAR 2013
Country/TerritoryUnited States
CityNew York, NY
Period16/06/1320/06/13

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