Probabilistic fatigue life prediction using subset simulation

Hongshuang Li, Yibing Xiang, Yongming Liu

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

1 Scopus citations

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 2012
PublisherAmerican Institute of Aeronautics and Astronautics Inc.
ISBN (Print)9781600869372
DOIs
StatePublished - 2012
Externally publishedYes
Event53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 2012 - Honolulu, HI, United States
Duration: Apr 23 2012Apr 26 2012

Publication series

Name53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 2012

Other

Other53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 2012
CountryUnited States
CityHonolulu, HI
Period4/23/124/26/12

ASJC Scopus subject areas

  • Aerospace Engineering
  • Mechanical Engineering
  • Materials Science(all)
  • Surfaces and Interfaces

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  • Cite this

    Li, H., Xiang, Y., & Liu, Y. (2012). Probabilistic fatigue life prediction using subset simulation. In 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 2012 (53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 2012). American Institute of Aeronautics and Astronautics Inc.. https://doi.org/10.2514/6.2012-1816