EIFS-based crack growth fatigue life prediction of pitting-corroded test specimens

Yibing Xiang, Yongming Liu

Research output: Contribution to journalArticlepeer-review

42 Scopus citations


Corrosive environment causes corrosion pits at material surface and reduces the fatigue strength significantly. Fatigue crack usually initiates at and propagates from these locations. In this paper, a general methodology for fatigue life prediction for corroded specimens is proposed. The proposed methodology combines an asymptotic stress intensity factor solution and a power law corrosion pit growth function for fatigue life prediction of corroded specimens. First, a previously developed asymptotic interpolation method is proposed to calculate the stress intensity factor (SIF) for the crack at notch roots. Next, a growing semi-circular notch is assumed to exist on the specimen's surface under corrosive environments. The notch growth rate is different under different corrosion conditions and is assumed to be a power function. Fatigue life can be predicted using the crack growth analysis assuming a crack propagating from the notch root. Plasticity correction is included into the proposed methodology for medium-to-low cycle fatigue analysis. The proposed methodology is validated using experimental fatigue life testing data of aluminum alloys and steels. Very good agreement is observed between experimental observations and model predictions.

Original languageEnglish (US)
Pages (from-to)1314-1324
Number of pages11
JournalEngineering Fracture Mechanics
Issue number8
StatePublished - May 2010
Externally publishedYes


  • Corrosion
  • Crack growth
  • Fatigue life prediction
  • Notch

ASJC Scopus subject areas

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


Dive into the research topics of 'EIFS-based crack growth fatigue life prediction of pitting-corroded test specimens'. Together they form a unique fingerprint.

Cite this