Probabilistic fatigue life prediction using subset simulation

Hongshuang Li, Yibing Xiang, Yongming Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A general simulation-based methodology is proposed for efficient and accurate probabilistic fatigue life prediction. The proposed methodology is based on an Equivalent Initial Flaw Size (EIFS) crack growth model and Subset Simulation. The original Subset Simulation algorithm is modified to be suitable for probabilistic figure life prediction, which is an inverse reliability problem. The simulation results are compared with direct Monte Carlo simulation and experimental data for model verification and validation.

Original languageEnglish (US)
Title of host publication53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
StatePublished - Dec 1 2012
Externally publishedYes
Event53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference - Honolulu, HI, United States
Duration: Apr 23 2012Apr 26 2012

Publication series

NameCollection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
ISSN (Print)0273-4508

Other

Other53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
CountryUnited States
CityHonolulu, HI
Period4/23/124/26/12

ASJC Scopus subject areas

  • Architecture
  • Materials Science(all)
  • Aerospace Engineering
  • Mechanics of Materials
  • Mechanical Engineering

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