Scaling Laws for Fatigue Crack Growth of Large Cracks in Steels

Chan, Kwai S.

doi:10.1007/bf02646526

Cited by 42 publications

(17 citation statements)

References 45 publications

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“…The form of the model by Chang et al [26] is similar to Eq. [5]. The statistical model by Ihara and CЈ is a constant.…”

Section: Initiation Modelsmentioning

confidence: 99%

“…A simple and yet rigorous way for extending the microstructure-based crackinitiation model to a probabilistic design and life-prediction framework is to describe the distributions of the three lengthscale parameters (h, d, and c) in terms of the means (h, d, and c) and randomness (X h , X d , and X c ). [5] The latter are dimensionless parameters that describe the randomness or statistical distribution of the parameter of interest. Upon proper substitution, Eq.…”

Section: Crack Initiation At a Stressmentioning

confidence: 99%

“…[5] Applications of the fatigue-crack-growth The current life-prediction systems may be improved by model in a probabilistic life-prediction framework have also development of better crack-initiation-life models, probabibeen demonstrated for steels and a Ti alloy. [6] Microstructurelistic treatment of the variability of crack-initiation life, and based fatigue-crack-initiation models have been developed enhanced local notch analysis capability.…”

Section: Introductionmentioning

confidence: 99%

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A microstructure-based fatigue-crack-initiation model

Chan

2003

Metall Mater Trans A

151

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This article presents results on the development of a microstructure-based fatigue-crack-initiation model which includes explicit crack-size and microstructure-scale parameters. The current status of microstructure-based fatigue-crack-initiation models is briefly reviewed first. Tanaka and Mura's models [1,2] for crack initiation at slipbands and inclusions are then extended to include crack size and relevant microstructural parameters in the response equations. The microstructure-based model for crack initiation at slipbands is applied to predicting the crack size at initiation, small-crack behavior, and notch fatigue in structural alloys. The calculated results are compared against the experimental data for steels and Al-, Ti-, and Ni-based alloys from the literature to assess the range of predictability and accuracy of the fatigue-crack-initiation model. The applicability of the proposed model for treating variability in fatigue-crack-initiation life due to variations in the microstructure is discussed.

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“…The form of the model by Chang et al [26] is similar to Eq. [5]. The statistical model by Ihara and CЈ is a constant.…”

Section: Initiation Modelsmentioning

confidence: 99%

Section: Crack Initiation At a Stressmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A microstructure-based fatigue-crack-initiation model

Chan

2003

Metall Mater Trans A

151

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“…The fatigue-crack growth (FCG) model proposed by Chan [14] gives explicit relationships between da/dN and material parameters such as the dislocation-cell size (i.e., striation spacing),…”

Section: Fatigue-crack-growth Modelmentioning

confidence: 99%

“…This model has been developed [14] on the basis of fatigue-damage accumulation in a crack-tip element located within a microstructurally sensitive process zone. [15] Furthermore, FCG occurs as the result of accumulation of a plastic-strain range at the crack-tip element whose failure is governed by the Coffin-Manson LCF law.…”

Section: Fatigue-crack-growth Modelmentioning

confidence: 99%

Probabilistic micromechanical modeling of fatigue-life variability in an α+β Ti alloy

Chan

Enright

2005

Metall Mater Trans A

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The fatigue-life variability in an ␣ ϩ ␤ Ti alloy (Ti-6Al-4V) has been examined through a probabilistic micromechanical model that treats the crack-initiation and growth processes at the grain-size level. First, a physics-based crack-initiation model is described. This is followed by a summary of a physicsbased fatigue-crack-growth model. The combined model is applied to predict the variability of crack initiation and growth lives due to microstructural variations in Ti-6Al-4V. Finally, possible fatigue mechanisms or scenarios that can lead to the worst-case fatigue life are elucidated via probabilistic modeling of the fatigue-crack-initiation process, the driving force of the grain-sized cracks, as well as the intrinsic (closure-free) threshold and the closure-affected threshold of the small cracks. In the absence of preexisting cracks, the worst-case total fatigue life is obtained when two conditions are met:(1) the crack size at initiation is on the order of 1 to 2 times the grain size, and (2) the driving force (applied ⌬K ) exceeds the intrinsic threshold of the small cracks. The probabilistic results are also used to elucidate the conditions for the occurrence of dual fatigue limits in high-cycle fatigue (HCF) or giga-cycle fatigue.

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Scaling and Fractality in Sub-critical Fatigue and Creep Crack Growth

Carpinteri

2021

Solid Mechanics and Its Applications

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Scaling Laws for Fatigue Crack Growth of Large Cracks in Steels

Cited by 42 publications

References 45 publications

A microstructure-based fatigue-crack-initiation model

A microstructure-based fatigue-crack-initiation model

Probabilistic micromechanical modeling of fatigue-life variability in an α+β Ti alloy

Scaling and Fractality in Sub-critical Fatigue and Creep Crack Growth

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