A Fatigue-Crack Growth Prediction Model Considering Stress Ratio Effects Based on Material Properties

To overcome the limitation of the Paris law in capturing stress-ratio (R) effects, a modification of the Goodman model is introduced to account for the nonlinear variation of the fatigue limit with mean stress in this study. Based on the modified formulation, an equivalent crack driving force model incorporating R-effects is subsequently derived for fatigue-crack growth (FCG). The model unifies the stress-intensity factor ranges at different values of R into an equivalent value at R = 0 without introducing fitting parameters other than the Paris constants, relying solely on basic material properties (fatigue limit and tensile strength). This feature facilitates practical application and avoids extensive experimental calibration. Validation using FCG test results of Q345qD steel and 23 datasets show that the model outperforms classical models, achieving a goodness of fit up to 0.98 and demonstrating strong robustness and practical value for FCG prediction and residual-life assessment in engineering structures.

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Publication Details

Journal
Applied Sciences
Published
2026-01-05
DOI
https://doi.org/10.3390/app16010547
Primary Topic
Fatigue and fracture mechanics
Type
article
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article

A Fatigue-Crack Growth Prediction Model Considering Stress Ratio Effects Based on Material Properties

Panpan Wu, Xing Yang, Chunguo Zhang, Zhonghong Dong
Applied Sciences
Fatigue and fracture mechanics
article

A Fatigue-Crack Growth Prediction Model Considering Stress Ratio Effects Based on Material Properties

Panpan Wu, Xing Yang, Chunguo Zhang, Zhonghong Dong
article en

Abstract

To overcome the limitation of the Paris law in capturing stress-ratio (R) effects, a modification of the Goodman model is introduced to account for the nonlinear variation of the fatigue limit with mean stress in this study. Based on the modified formulation, an equivalent crack driving force model incorporating R-effects is subsequently derived for fatigue-crack growth (FCG). The model unifies the stress-intensity factor ranges at different values of R into an equivalent value at R = 0 without introducing fitting parameters other than the Paris constants, relying solely on basic material properties (fatigue limit and tensile strength). This feature facilitates practical application and avoids extensive experimental calibration. Validation using FCG test results of Q345qD steel and 23 datasets show that the model outperforms classical models, achieving a goodness of fit up to 0.98 and demonstrating strong robustness and practical value for FCG prediction and residual-life assessment in engineering structures.

Applied SciencesVol. 16(1)
Chang'an University (CN)
Responsible consumption and production
Openalex Percentile: Top 96%
Fatigue and fracture mechanics
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