A Multiaxial Fatigue Life Prediction Approach Accounting for Additional Strengthening Effect Based on Energy-Critical Plane Model
Accurate estimation of multiaxial fatigue life plays a critical role in maintaining the structural integrity and operational reliability of mechanical components subjected to complex loading conditions. Under non-proportional loading, fatigue life tends to decrease significantly due to the emergence of additional damage mechanisms, such as dislocation accumulation, cyclic hardening, and accelerated propagation of micro-cracks. This study conducts a systematic investigation into the primary factors that influence fatigue behavior under non-proportional loading conditions. A novel damage factor is proposed, which quantifies the additional strengthening effects caused by complex stress and strain interactions. Based on this factor, a new prediction model is developed through the combination of critical plane theory and an energy-based framework. This model captures the influence of non-proportional strengthening on fatigue strength with improved accuracy. Experimental validation is carried out using En8, TC4, and Al7050-T7451 materials under tension and torsion loading conditions. Comparative analysis with three conventional models shows that the proposed method improves the accuracy of predictions and offers a dependable approach for practical engineering applications.
Authors
- Rui Pan (ORCID: https://orcid.org/0009-0000-3414-7594)
- Jianxiong Gao (ORCID: https://orcid.org/0000-0002-2975-0150)
- Bo Wang (ORCID: https://orcid.org/0009-0002-7724-2932)
- Yiping Yuan (ORCID: https://orcid.org/0000-0002-0509-0493)
- Qin Cheng (ORCID: https://orcid.org/0000-0003-4045-3656)
- Jianxing Zhou (ORCID: https://orcid.org/0000-0003-1143-6750)
Institutions
- Xinjiang University (CN)
Publication Details
- Journal
- Materials
- Published
- 2025-09-01
- DOI
- https://doi.org/10.3390/ma18174089
- Primary Topic
- Fatigue and fracture mechanics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Xinjiang Province
- National Natural Science Foundation of China