From mechanism empirical to physics-informed: a comprehensive review of multiaxial non-proportional low-cycle fatigue life prediction DOI
Wanqi Yu, Xingyue Sun, Xu Chen

et al.

International Journal of Structural Integrity, Journal Year: 2025, Volume and Issue: unknown

Published: April 28, 2025

Purpose During the service life, engineering materials often suffer from alternating loading different directions simultaneously, causing unexpected multiaxial fatigue damage. In response to this issue, scholars measure differences in paths through quantitative evaluation of non-proportional loading. However, how accurately describe effects remains a key concern. Design/methodology/approach This review introduces influence on cyclic deformation and life materials, followed by development prediction models, which covers evolution equivalent strain criteria, energy method critical plane approach, latest data-physics fusion-driven methods. Findings From perspective material damage, series methods including strain, density, have been developed for evaluating structures. With data-driven algorithms, physical-informed neural networks also based these empirical models obtain more accurate results. future research, studies that integrate physical mechanisms with can provide reliable results prediction. Originality/value classical It provides reference further research into theories

Language: Английский

From mechanism empirical to physics-informed: a comprehensive review of multiaxial non-proportional low-cycle fatigue life prediction DOI
Wanqi Yu, Xingyue Sun, Xu Chen

et al.

International Journal of Structural Integrity, Journal Year: 2025, Volume and Issue: unknown

Published: April 28, 2025

Purpose During the service life, engineering materials often suffer from alternating loading different directions simultaneously, causing unexpected multiaxial fatigue damage. In response to this issue, scholars measure differences in paths through quantitative evaluation of non-proportional loading. However, how accurately describe effects remains a key concern. Design/methodology/approach This review introduces influence on cyclic deformation and life materials, followed by development prediction models, which covers evolution equivalent strain criteria, energy method critical plane approach, latest data-physics fusion-driven methods. Findings From perspective material damage, series methods including strain, density, have been developed for evaluating structures. With data-driven algorithms, physical-informed neural networks also based these empirical models obtain more accurate results. future research, studies that integrate physical mechanisms with can provide reliable results prediction. Originality/value classical It provides reference further research into theories

Language: Английский

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