Predicting fatigue life of pre-corroded 2024-T3 aluminum

Gruenberg, K. M.; Craig, Bruce A.; Hillberry, B. M.; Bucci, R. J.; Hinkle, Andrew

doi:10.1016/j.ijfatigue.2003.10.011

Cited by 52 publications

(27 citation statements)

References 19 publications

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“…The use of pit area as a metric is consistent with the work of Murakami and Endo who reviewed a wide range of alternate models of the effect of microstructural defects on fatigue endurance 34 . Recently, Gruenberg et al successfully used pit area in predicting the fatigue life of corroded 2024‐T3 7 …”

Section: Resultssupporting

confidence: 56%

“…During marker band measurement it was noted that the fatigue cracks rapidly became semi‐elliptical. Several other workers have reported this behaviour 7,30,31 …”

Section: Resultsmentioning

confidence: 67%

“…The formulation of mechanistic models for predicting corrosion growth 4,5 The creation of models and method to predict and manage the impact of existing corrosion damage on structural integrity 6–11 Holistic models combining all of the above (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…The creation of models and method to predict and manage the impact of existing corrosion damage on structural integrity 6–11 …”

Section: Introductionmentioning

confidence: 99%

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The EIFS distribution for anodized and pre‐corroded 7010‐T7651 under constant amplitude loading

Crawford

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Ward

et al. 2005

Fatigue Fract Eng Mat Struct

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A B S T R A C T This paper reports results from SICAS, an experimental programme to evaluate the effectiveness of the equivalent initial flaw size (EIFS) approach in managing the structural integrity effects of pitting corrosion. Fatigue crack growth and life tests were conducted on anodized and pre-corroded 7010-T7651. The corrosion pits that initiated fatigue were then measured using the SEM. These data were analysed statistically to identify the pit geometric parameter(s) that influenced fatigue life. Projected pit area had the strongest effect, while pit depth and pit width were each statistically insignificant. The EIFS distribution for corroded 7010-T7651 was then calculated. Examination of the probability distribution of the ratio of EIFS area to pit area allowed the derivation of a scatter factor that gave safely conservative fatigue life predictions for the corroded material. N O M E N C L A T U R E C m = coefficients of multiple linear regression, m = 1, 2, . . . , m n = Paris Law exponent N = number of cases (coupons) R = load ratio, σ min /σ max K = stress intensity factor, MPa √ m ρ = Spearman's correlation coefficient σ max = maximum stress, MPa σ min = minimum stress, MPa

show abstract

Section: Resultssupporting

confidence: 56%

“…During marker band measurement it was noted that the fatigue cracks rapidly became semi‐elliptical. Several other workers have reported this behaviour 7,30,31 …”

Section: Resultsmentioning

confidence: 67%

Section: Introductionmentioning

confidence: 99%

“…The creation of models and method to predict and manage the impact of existing corrosion damage on structural integrity 6–11 …”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The EIFS distribution for anodized and pre‐corroded 7010‐T7651 under constant amplitude loading

Crawford

Loader

Ward

et al. 2005

Fatigue Fract Eng Mat Struct

View full text Add to dashboard Cite

show abstract

“…Up until now there exists no fixed criterion for an evaluation of damage due to corrosion, or environmental degradation, which is universally applicable and acceptable [10]. The damage Tolerance Design Handbook published and put forth by the U.S. Air Force in 2002 records the different types of damage due to corrosion and the different metrics that are used to convincingly describe and/ or quantify the damage.…”

Section: Introductionmentioning

confidence: 99%

Influence of morphology of corrosion on fracture initiation in an aluminum alloy

Gao

et al. 2013

Materials & Design

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Fatigue life estimation of pre-corroded 42CrMo4 subjected to accelerated pitting corrosion method

et al. 2021

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Predicting fatigue life of pre-corroded 2024-T3 aluminum

Cited by 52 publications

References 19 publications

The EIFS distribution for anodized and pre‐corroded 7010‐T7651 under constant amplitude loading

The EIFS distribution for anodized and pre‐corroded 7010‐T7651 under constant amplitude loading

Influence of morphology of corrosion on fracture initiation in an aluminum alloy

Fatigue life estimation of pre-corroded 42CrMo4 subjected to accelerated pitting corrosion method

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