Machine learning based fatigue life prediction with effects of additive manufacturing process parameters for printed SS 316L by Zhan, Zhixin, Li, Hua

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A novel approach based on the elastoplastic fatigue damage and machine learning models for life prediction of aerospace alloy parts fabricated by additive manufacturing by Zhan, Zhixin, Li, Hua

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Development of a novel fatigue damage model with AM effects for life prediction of commonly-used alloys in aerospace by Zhan, Zhixin, Li, Hua, Lam, Khin Yong

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A new damage-mechanics-based model for rolling contact fatigue analysis of cylindrical roller bearing by Li, Fukai, Hu, Weiping, Meng, Qingchun, Zhan, Zhixin, Shen, Fei

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How molecular interactions tune the characteristic time of nanocomposite colloidal sensors by Rajendran, Barathan, Chen, Xiao, Li, Zhong, Zhan, Zhixin, Goh, K B

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Development of a novel continuum damage mechanics-based machine learning approach for vibration fatigue assessment of fastener clip subjected to high-frequency vibration by Dong, Yifei, Zhan, Zhixin, Sun, Linlin, Hu, Weiping, Meng, Qingchun, Berto, Filippo, Li, Hua

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