A new framework for fatigue life prediction under random loading conditions

Jie Chen, Yongming Liu

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

Abstract

A new framework for predicting the fatigue life under random loading conditions is proposed in this paper. The piecewise stochastic rainflow counting (PSRC) is proposed to transform the random loading spectrum to a series of block loadings in a piecewise manner. The block loading sequence effect is considered through a block sequence randomization. The random fatigue limit model is used and enhanced by the Dietman mean stress correction model to calculate the fatigue life for a constant loading considering the mean stress effect and fatigue limit. Both the linear and nonlinear damage accumulation rule ae used for the criterions for the fatigue damage accumulation until failure. The loading sequence effect for random loading is studied by comparing the results from the linear and nonlinear fatigue damage accumulation rule. The predicted fatigue lives are slightly conservative for the selected nonlinear damage accumulation rule than that for Miner rule in the proposed framework. The fatigue life prediction is better with the nonlinear damage accumulation rule.

Original languageEnglish (US)
Title of host publicationAIAA Scitech 2021 Forum
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
Pages1-7
Number of pages7
ISBN (Print)9781624106095
StatePublished - 2021
Externally publishedYes
EventAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021 - Virtual, Online
Duration: Jan 11 2021Jan 15 2021

Publication series

NameAIAA Scitech 2021 Forum

Conference

ConferenceAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021
CityVirtual, Online
Period1/11/211/15/21

ASJC Scopus subject areas

  • Aerospace Engineering

Fingerprint

Dive into the research topics of 'A new framework for fatigue life prediction under random loading conditions'. Together they form a unique fingerprint.

Cite this