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

Yibing Xiang, Yongming Liu

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

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
Volume77
Issue number8
DOIs
StatePublished - May 2010
Externally publishedYes

Fingerprint

Pitting
Crack propagation
Fatigue of materials
Caustics
Corrosion
Stress intensity factors
Cracks
Steel
Plasticity
Aluminum alloys
Interpolation
Testing

Keywords

  • Corrosion
  • Crack growth
  • Fatigue life prediction
  • Notch

ASJC Scopus subject areas

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

Cite this

EIFS-based crack growth fatigue life prediction of pitting-corroded test specimens. / Xiang, Yibing; Liu, Yongming.

In: Engineering Fracture Mechanics, Vol. 77, No. 8, 05.2010, p. 1314-1324.

Research output: Contribution to journalArticle

@article{bc013eebeb904d71bafe79dec8bbc4f3,
title = "EIFS-based crack growth fatigue life prediction of pitting-corroded test specimens",
abstract = "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.",
keywords = "Corrosion, Crack growth, Fatigue life prediction, Notch",
author = "Yibing Xiang and Yongming Liu",
year = "2010",
month = "5",
doi = "10.1016/j.engfracmech.2010.03.018",
language = "English (US)",
volume = "77",
pages = "1314--1324",
journal = "Engineering Fracture Mechanics",
issn = "0013-7944",
publisher = "Elsevier BV",
number = "8",

}

TY - JOUR

T1 - EIFS-based crack growth fatigue life prediction of pitting-corroded test specimens

AU - Xiang, Yibing

AU - Liu, Yongming

PY - 2010/5

Y1 - 2010/5

N2 - 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.

AB - 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.

KW - Corrosion

KW - Crack growth

KW - Fatigue life prediction

KW - Notch

UR - http://www.scopus.com/inward/record.url?scp=77952749467&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77952749467&partnerID=8YFLogxK

U2 - 10.1016/j.engfracmech.2010.03.018

DO - 10.1016/j.engfracmech.2010.03.018

M3 - Article

VL - 77

SP - 1314

EP - 1324

JO - Engineering Fracture Mechanics

JF - Engineering Fracture Mechanics

SN - 0013-7944

IS - 8

ER -