An improved stress ratio normalized fatigue crack growth rate model

Purpose The stress ratio has a significant effect on the fatigue crack growth rate (FCGR). The traditional stress ratio normalization model has problems due to incomplete consideration of correction coefficients and an unsatisfactory normalization effect at high stress ratio. Design/methodology/approach This paper proposes an improved stress ratio normalization model. By correcting the slope and translation intercept of the FCGR curves at different stress ratios, the unknown parameters were solved and optimized by combining them with the genetic algorithm (GA). Under the small range yield condition, the scope of application of the improved model was extended to the range of elastic-plastic mechanics. Findings Titanium alloys, aluminum alloys and steels were used as research objects. The effects of stress ratio normalization of traditional and improved models were compared in the range of linear elastic mechanics. The improved model can effectively gather the FCGR data at high and low stress ratios on the same straight line. The coefficients of determination R2 of the linear fits to the data were all raised to 0.98 after normalization. The improved models in the elastic-plastic mechanics range exhibited the same normalization effect. The coefficients of determination R2 were 0.98, 0.97 and 0.98, respectively. Originality/value The results show that the improved model based on the GA exhibits good stress ratio normalization effect and wide applicability. It provides a new theoretical basis and reference for variable amplitude fatigue crack growth (FCG) life prediction.

Institutions

Publication Details

Journal
International Journal of Structural Integrity
Published
2025-11-11
DOI
https://doi.org/10.1108/ijsi-05-2025-0133
Primary Topic
Fatigue and fracture mechanics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An improved stress ratio normalized fatigue crack growth rate model

International Journal of Structural Integrity
Fatigue and fracture mechanics
article

An improved stress ratio normalized fatigue crack growth rate model

article en

Abstract

Purpose The stress ratio has a significant effect on the fatigue crack growth rate (FCGR). The traditional stress ratio normalization model has problems due to incomplete consideration of correction coefficients and an unsatisfactory normalization effect at high stress ratio. Design/methodology/approach This paper proposes an improved stress ratio normalization model. By correcting the slope and translation intercept of the FCGR curves at different stress ratios, the unknown parameters were solved and optimized by combining them with the genetic algorithm (GA). Under the small range yield condition, the scope of application of the improved model was extended to the range of elastic-plastic mechanics. Findings Titanium alloys, aluminum alloys and steels were used as research objects. The effects of stress ratio normalization of traditional and improved models were compared in the range of linear elastic mechanics. The improved model can effectively gather the FCGR data at high and low stress ratios on the same straight line. The coefficients of determination R2 of the linear fits to the data were all raised to 0.98 after normalization. The improved models in the elastic-plastic mechanics range exhibited the same normalization effect. The coefficients of determination R2 were 0.98, 0.97 and 0.98, respectively. Originality/value The results show that the improved model based on the GA exhibits good stress ratio normalization effect and wide applicability. It provides a new theoretical basis and reference for variable amplitude fatigue crack growth (FCG) life prediction.

International Journal of Structural Integrity
Dalian Jiaotong University (CN)
Openalex Percentile: Top 47%
Fatigue and fracture mechanics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.