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International Journal of Fatigue - Volume 158 / Issue None

Title
Authors Volume Issue Page Year PKV
Defect-induced cracking and fine granular characteristics in very-high-cycle fatigue of laser powder bed fusion AlSi10Mg alloy
Jianghua Li, Jingyu Sun, Guian Qian, Liting Shi 158 None 106770–None 2022 3.0
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A nonlinear constant life diagram model for out-of-plane shear fatigue life prediction of 3D woven composites
Licheng Guo, Feng Liao, Yan Xu, Zhixing Li, Yidong Zhang 158 None 106746–None 2022 7.0
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Fatigue life prediction considering mean stress effect based on random forests and kernel extreme learning machine
Lei Gan, Hao Wu, Zheng Zhong 158 None 106761–None 2022 4.0
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Failure diagrams for subcritical crack growth
K. Sadananda, N. Iyyer 158 None 106775–None 2022 5.0
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Multiaxial fatigue behaviour and damage mechanisms of P92 steel under various strain amplitudes and strain ratios at high temperature
Ning Gao, Wei Zhang, Peng Yin, Fei Liang, Changyu Zhou 158 None 106774–None 2022 8.62
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Effect of voids on fatigue damage propagation in 3D5D braided composites revealed via automated algorithms using X-ray computed tomography
Xiaodong Liu, Xiaoxu Wang, Diantang Zhang, Kun Qian 158 None 106778–None 2022 10.48
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A finite element study on the influence of the hardening behavior on plasticity-induced fatigue crack closure
Axel Reichenbacher, Carl Fischer, Christoph Schweizer, Thomas Seifert 158 None 106768–None 2022 5.71
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Machine learning based very-high-cycle fatigue life prediction of Ti-6Al-4V alloy fabricated by selective laser melting
Jun Li, Zhengmao Yang, Guian Qian, Filippo Berto 158 None 106764–None 2022 4.0
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Extreme variation in fatigue: Fatigue life prediction and dependence on build volume location in laser powder bed fusion of 17-4 stainless steel
Jaime Berez, Luke Sheridan, Christopher Saldaña 158 None 106737–None 2022 8.71
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A combined elastic–plastic framework unifying the various cyclic softening/hardening behaviors for heat resistant steels: Experiment and modeling
Kai Song, Kaimeng Wang, Lei Zhao, Lianyong Xu, Kangda Hao 158 None 106736–None 2022 5.0
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