A Nonlinear Fatigue Damage Prediction Model for Multilevel Loading

ABSTRACT This study presents an enhanced cumulative damage model derived from the classical Manson–Halford (M–H) model. Through theoretical analysis, this study examines the advantages of the enhanced model regarding load sequence and interaction effects, validating its practical effectiveness through case studies. The findings reveal that the enhanced model characterizes the cumulative damage process under complex loading conditions more accurately. It also improves computational precision, especially when considering load sequence and interaction effects. Compared to the conventional M–H model and other improved models proposed in the literature, the enhanced model developed in this study demonstrates superior reliability in predicting fatigue life and damage accumulation, thereby providing a more robust theoretical basis for fatigue life assessment in engineering applications. The findings of this study provide novel insights into cumulative damage theory and present significant potential for engineering applications.

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Publication Details

Journal
Fatigue & Fracture of Engineering Materials & Structures
Published
2025-09-04
DOI
https://doi.org/10.1111/ffe.70077
Citations
1
Primary Topic
Fatigue and fracture mechanics
Type
article
Field-Weighted Citation Impact
0.86

Funders

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article

A Nonlinear Fatigue Damage Prediction Model for Multilevel Loading

Xingkun Liu, Xuesong Liu
1 citations
Fatigue & Fracture of Engineering Materials & Structures
Fatigue and fracture mechanics
0.86
article

A Nonlinear Fatigue Damage Prediction Model for Multilevel Loading

Xingkun Liu, Xuesong Liu
article en
1 citations

Abstract

ABSTRACT This study presents an enhanced cumulative damage model derived from the classical Manson–Halford (M–H) model. Through theoretical analysis, this study examines the advantages of the enhanced model regarding load sequence and interaction effects, validating its practical effectiveness through case studies. The findings reveal that the enhanced model characterizes the cumulative damage process under complex loading conditions more accurately. It also improves computational precision, especially when considering load sequence and interaction effects. Compared to the conventional M–H model and other improved models proposed in the literature, the enhanced model developed in this study demonstrates superior reliability in predicting fatigue life and damage accumulation, thereby providing a more robust theoretical basis for fatigue life assessment in engineering applications. The findings of this study provide novel insights into cumulative damage theory and present significant potential for engineering applications.

Fatigue & Fracture of Engineering Materials & StructuresVol. 48(12)
Harbin Institute of Technology (CN), Harbin Welding Institute (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 25%
Fatigue and fracture mechanics
0.86
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