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Fatigue life prediction for LPBF-fabricated Ti-6Al-4V up to very-high-cycle regime based on continuum damage mechanics incorporating effect of defects 期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2024, 卷号: 181, 页码: 13
作者:  Ling, Chao;  Jia, Yinfeng;  Fu, Rui;  Zheng, Liang;  Zhong, Zheng;  Hong YS(洪友士)
收藏  |  浏览/下载：23/0  |  提交时间：2024/03/11
Fatigue life prediction  LPBF-fabricated Ti-6Al-4V  Continuum damage mechanics  Defect  Very-high-cycle fatigue  
Bayesian model averaging for probabilistic S-N curves with probability distribution model form uncertainty 期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2023, 卷号: 177, 页码: 11
作者:  Zou, Qingrong;  Wen, Jici
Adobe PDF(4441Kb)  |  收藏  |  浏览/下载：69/2  |  提交时间：2023/12/18
N curves  Fatigue design  Bayesian model averaging  Probability distribution model form  uncertainty  
Fatigue life prediction based on a deep learning method for Ti-6Al-4V fabricated by laser powder bed fusion up to very-high-cycle fatigue regime 期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2023, 卷号: 172, 页码: 107645
作者:  Jia, Yinfeng;  Fu, Rui;  Ling, Chao;  Shen, Zheng;  Zheng, Liang;  Zhong, Zheng;  Hong YS(洪友士)
Adobe PDF(7230Kb)  |  收藏  |  浏览/下载：56/0  |  提交时间：2023/06/15
Fatigue life prediction  Deep learning method  Laser powder bed fusion  Ti-6Al-4V  Very -high -cycle fatigue  
A novel defect based fatigue damage model coupled with an optimized neural network for high cycle fatigue analysis of casting alloys with surface defect 期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2023, 卷号: 170, 页码: 107538
作者:  Gao, Tongzhou;  Ji, Chenhao;  Zhan, Zhixin;  Huang, Yingying;  Liu CQ(刘传奇);  Hu, Weiping;  Meng, Qingchun
Adobe PDF(18205Kb)  |  收藏  |  浏览/下载：55/1  |  提交时间：2023/04/20
High cycle fatigue  Casting alloys  Surface defect  Damage model  Optimized neural network  
Robust quantile regression analysis for probabilistic modelling of S-N curves 期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2023, 卷号: 167, 页码: 14
作者:  Zou, Qingrong;  Zhao, Jianxi;  Wen JC(温济慈)
Adobe PDF(1698Kb)  |  收藏  |  浏览/下载：99/1  |  提交时间：2023/02/03
N curves  Fatigue life  Quantile regression  Fatigue design  
The synergetic effects of shot peening and laser-shot peening on the microstructural evolution and fatigue performance of a medium carbon steel 期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2023, 卷号: 166, 页码: 12
作者:  Zhang YT(张亚婷);  Zhang K(张坤);  Hu,Zheng;  Chen,Tianyu;  Susmel,Luca;  Wei BC(魏炳忱)
Adobe PDF(1679Kb)  |  收藏  |  浏览/下载：169/4  |  提交时间：2022/11/08
Shot peening  Laser shot peening  Fatigue life transition  Microstructure  Short crack  
Multiaxial fatigue life assessment of 304 austenitic stainless steel with a novel energy-based criterion 期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2022, 卷号: 159, 页码: 16
作者:  Yang, Shun;  Sun JY(孙经雨)
Adobe PDF(4265Kb)  |  收藏  |  浏览/下载：140/37  |  提交时间：2022/07/18
Multiaxial fatigue  Loading path  Energy weight coefficient  Non-proportionality  SS304  
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
作者:  Li J(李俊);  Yang ZM(杨正茂);  Qian GA(钱桂安);  Berto F
Adobe PDF(3392Kb)  |  收藏  |  浏览/下载：153/37  |  提交时间：2022/07/18
Very-high-cycle fatigue (VHCF)  Machine learning  Selective laser melting (SLM)  Fatigue life prediction  Monte Carlo simulation (MCs)  
High-cycle and very-high-cycle fatigue lifetime prediction of additively manufactured AlSi10Mg via crystal plasticity finite element method 期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2022, 卷号: 155, 页码: 11
作者:  Zhang JM(张佳妹);  Li JH(李江华);  Wu, Shengchuan;  Zhang, Wenjie;  Sun JY(孙经雨);  Qian GA(钱桂安)
Adobe PDF(8939Kb)  |  收藏  |  浏览/下载：366/111  |  提交时间：2021/11/29
Crystal plasticity  Additive manufacturing  Very-high-cycle fatigue  AlSi10Mg alloy  Defects  
In situ X-ray imaging of fatigue crack growth from multiple defects in additively manufactured AlSi10Mg alloy 期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2022, 卷号: 155, 页码: 13
作者:  Qian, Weijian;  Wu, Shengchuan;  Wu, Zhengkai;  Ahmed, Saad;  Zhang, Wen;  钱桂安n;  Withers, Philip J.
Adobe PDF(11053Kb)  |  收藏  |  浏览/下载：145/45  |  提交时间：2022/06/11
Additive manufacturing (AM)  Multiple defects  

Synchrotron X-ray micro computed & nbsp  Fatigue crack growth prediction  AlSi10Mg alloys  tomography ( mu CT)