A time-based formulation for real-time fatigue damage prognosis under variable amplitude loadings

Wei Zhang, Yongming Liu

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

2 Scopus citations

Abstract

A time-based fatigue crack growth algorithm is proposed in this paper to calculate the fatigue crack growth under general random variable amplitude loading. This approach is based on the analytical crack tip opening displacement (CTOD) estimation and a subcycle fatigue crack growth model. The discussion is first given for fatigue cracks without considering the crack closure. Next, the model is extended to the growing crack with the crack closure. Following this, a general fatigue crack growth algorithm is proposed under general random variable loadings, which is combined the crack closure model and the geometrical relationship between the CTOD and the crack increment (da) at any time instant within a cycle. To validate this algorithm, a testing is performed for Al7075-T6 under "Christmas Tree" loading spectra, which cannot be easily handled by the classical cycle-based approaches. The predictions match the experimental data very well. A detailed discussion is given based on the current investigation.

Original languageEnglish (US)
Title of host publication54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
DOIs
StatePublished - 2013
Event54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference - Boston, MA, United States
Duration: Apr 8 2013Apr 11 2013

Publication series

Name54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference

Other

Other54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
Country/TerritoryUnited States
CityBoston, MA
Period4/8/134/11/13

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanics of Materials
  • Building and Construction
  • Architecture

Fingerprint

Dive into the research topics of 'A time-based formulation for real-time fatigue damage prognosis under variable amplitude loadings'. Together they form a unique fingerprint.

Cite this