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International Journal of Fatigue - Volume 166 / Issue None

Title
Authors Volume Issue Page Year PKV
Approaches to fatigue lifing in a high strength polycrystalline nickel alloy
M.T. Whittaker, N.C. Barnard, B.J. Cockings, E. Duffy, M.C. Hardy 166 None 107239–None 2023 17.02
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The effect of dwell on thermomechanical fatigue behaviour of Ni-base superalloy Inconel 713LC
Ivo Šulák, Karel Obrtlík 166 None 107238–None 2023 16.82
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Turning/Shot peening of Nickel-based powder metallurgy superalloy: Effect on surface integrity and high-temperature low-cycle fatigue properties
Xin Wang, Chunling Xu, Xiaofeng Wang, Dianyin Hu, Zhihui Tang 166 None 107291–None 2023 16.28
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Loading classification proposal for fatigue design of automotive chassis-parts: A relevant process for variable amplitude and multi-input load cases
Enora Bellec, Cédric Doudard, Matteo Luca Facchinetti, Sylvain Calloch, Sylvain Moyne 166 None 107284–None 2023 15.54
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Prediction of the crack growth propagation direction in non-proportional mixed-mode missions
Daniele Amato, Lukas Mayrhofer, Christian Robl, Guido Dhondt, Roberto Citarella 166 None 107233–None 2023 15.26
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A generalized physical-based failure indicator parameter used in crystal plasticity model to predict fatigue life under low cycle fatigue and creep-fatigue loadings
Dewen Zhou, Xiaowei Wang, Xinyu Yang, Tianyu Zhang, Shantung Tu 166 None 107290–None 2023 15.18
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Comparative study on numerical simulation methods of stress concentration calculation and fatigue life prediction for welds
Zhengping He, Bingzhi Chen, Xiangwei Li 166 None 107205–None 2023 15.11
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The EIFS-based fatigue life prediction approach of nickel-based single crystals with film cooling holes at elevated temperature
Fei Li, Zhixun Wen, Ziyan Wu, Zhenwei Li, Zhufeng Yue 166 None 107272–None 2023 15.11
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A physically consistent framework for fatigue life prediction using probabilistic physics-informed neural network
Taotao Zhou, Shan Jiang, Te Han, Shun-Peng Zhu, Yinan Cai 166 None 107234–None 2023 14.95
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Fatigue crack characterisation in 2024-T351 aluminium alloy through SEM observation combined with the CJP model
J.M. Robles, J.M. Vasco-Olmo, A.S. Cruces, F.A. Diaz, P. Lopez-Crespo 166 None 107279–None 2023 14.54
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