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International Journal of Fatigue - Volume 157 / Issue None

Title
Authors Volume Issue Page Year PKV
Fatigue life prediction of aluminum alloy via knowledge-based machine learning
Zhengheng Lian, Minjie Li, Wencong Lu 157 None 106716–None 2022 200.97
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Revealing the complex effects of particle bands on fatigue crack growth in an extruded aluminium matrix composite
Jiwei Geng, Yugang Li, Feifei Wang, Chengcheng Zhang, Haowei Wang 157 None 106720–None 2022 27.44
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Probabilistic method for fatigue crack growth prediction with hybrid prior
Teng Wang, Junchi Bin, Guillaume Renaud, Min Liao, Zheng Liu 157 None 106686–None 2022 23.3
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Research on trapezoidal shape optimization of laser remanufacturing heterogeneous interface under fatigue load
Chen Zhou, Xin Wang, Rui Chen, Qiaoxin Zhang 157 None 106715–None 2022 21.94
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A novel artificial neural network model for wide-band random fatigue life prediction
Hong Sun, Yuanying Qiu, Jing Li 157 None 106701–None 2022 21.77
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An artful microstructure in nacre: Superior resistance to fatigue deformation
H.M. Ji, X.W. Li, D.L. Chen 157 None 106705–None 2022 20.69
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Comparison of fatigue life and flexibility between aluminum-composite and aluminum–aluminum bolted joints
Zlatan Kapidžić 157 None 106695–None 2022 20.01
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Influence of the compound layer on the rolling contact fatigue properties of nitrided medium-carbon steel at the elevated temperature
Guanghong Wang, Bin Cui, Wei Zou, Xiong Xiong, Shengguan Qu 157 None 106725–None 2022 17.09
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Prediction of actual fatigue test temperature and isothermal fatigue life curves for non-crystallising rubber under fully relaxing uni-axial loading conditions
Tadej Kocjan, Marko Nagode, Jernej Klemenc, Simon Oman 157 None 106622–None 2022 15.3
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Effective stress and fatigue life prediction with mean stress correction models on a ferritic stainless steel sheet
Gyoko Oh 157 None 106707–None 2022 14.13
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