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Machine learning based very-high-cycle fatigue life prediction of Ti-6Al-4V alloy fabricated by selective laser melting 期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2022, 卷号: 158, 页码: 9
Authors:  Li J(李俊);  Yang ZM(杨正茂);  Qian GA(钱桂安);  Berto F
Adobe PDF(3392Kb)  |  Favorite  |  View/Download：177/42  |  Submit date：2022/07/18
Very-high-cycle fatigue (VHCF)  Machine learning  Selective laser melting (SLM)  Fatigue life prediction  Monte Carlo simulation (MCs)  
Study on the Size Dependence of Calibration Parameters of the New Local Approach Model for Cleavage Fracture 期刊论文
PHYSICAL MESOMECHANICS, 2020, 卷号: 23, 期号: 4, 页码: 324-331
Authors:  Shen AR;  Li PC;  Yu ZS;  Qian GA(钱桂安);  Berto F;  Wu W
Adobe PDF(694Kb)  |  Favorite  |  View/Download：208/80  |  Submit date：2020/11/30
Cleavage fracture  New local approach model  Weibull parameters  Notch size  
Study on cleavage fracture probability-load curves of ferritic steel 20MnMoNi55 by using the new local approach model 期刊论文
INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING, 2019, 卷号: 178, 页码: 5
Authors:  Shen A R;  Li P C;  Qian GA(钱桂安);  Yu Z S;  Berto F;  Wu W
View  |  Adobe PDF(1115Kb)  |  Favorite  |  View/Download：236/67  |  Submit date：2020/03/11
Cleavage fracture probability  Ferritic steel  NLAM  Predicted load