Results 161 to 170 of about 660,437 (222)

MFLP-PINN: A physics-informed neural network for multiaxial fatigue life prediction

European Journal of Mechanics. A, Solids, 2023
Gaoyuan He, Yongxiang Zhao, Chu-liang Yan   +2 more
semanticscholar   +1 more source

A multiaxial fatigue damage function

International Journal of Fatigue, 2007
Abstract The applicability of a non-linear Fatigue Damage Function for multiaxial fatigue strength prediction is verified for various metallic materials including mild steel, hard steel, cast iron and aluminium alloys. The proposed method determines the orientation of the critical plane which experiences the maximum quantity of damage, according to ...
D NINIC, H STARK
openaire   +1 more source

Critical Planes in Multiaxial Fatigue

Materials Science Forum, 2005
The paper includes a review of literature on the multiaxial fatigue failure criteria based on the critical plane concept. The criteria were divided into three groups according to the distinguished fatigue damage parameter used in the criterion, i.e. (i) stress, (ii) strain and (iii) strain energy density criteria. Each criterion was described mainly by
Aleksander Karolczuk, Ewald Macha
openaire   +1 more source

Effect of the residual stress on contact fatigue of a wind turbine carburized gear with multiaxial fatigue criteria

International Journal of Mechanical Sciences, 2019
Carburized gears are extensively applied in heavy duty machines such as wind turbines. The variations of hardness and residual stress introduced by carburizing and quenching processes remarkably affect the rolling contact fatigue (RCF) during repeated ...
Wei Wang, Huaiju Liu, Cai-chao Zhu, Xuesong Du, Jinyuan Tang   +4 more
semanticscholar   +1 more source

Life prediction of cord/rubber laminates under multiaxial fatigue

International Journal of Fatigue, 2023
Ganfang Luo, Jialin Guo, Chi Zhang, Xiaoniu Yang   +3 more
semanticscholar   +1 more source

A novel method of multiaxial fatigue life prediction based on deep learning

, 2021
Jingye Yang, G. Kang, Yu-jie Liu, Q. Kan
semanticscholar   +1 more source

A novel deep learning approach of multiaxial fatigue life-prediction with a self-attention mechanism characterizing the effects of loading history and varying temperature

International Journal of Fatigue, 2022
Jingye Yang, Guozheng Kang, Q. Kan
semanticscholar   +1 more source

A new cyclical Generative Adversarial Network based data augmentation method for multiaxial fatigue life prediction

International Journal of Fatigue, 2022
Xingyue Sun, Kun Zhou, S. Shi, Kai Song, Xu Chen   +4 more
semanticscholar   +1 more source

Multiaxial Fatigue Damage Models

Journal of Engineering Materials and Technology, 1987
Two multiaxial fatigue damage models are proposed: a shear strain model for failures that are primarily mode II crack growth and a tensile strain model for failures that are primarily mode I crack growth. The failure mode is shown to be dependent on material, strain range and hydrostatic stress state.
openaire   +1 more source

Multiaxial fatigue prediction and uncertainty quantification based on back propagation neural network and Gaussian process regression

International Journal of Fatigue, 2022
Jingjing Gao, Jun Wang, Zili Xu, Cunjun Wang, Song Yan   +4 more
semanticscholar   +1 more source