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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 (vol 172, 107645, 2023) 期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2023, 卷号: 176, 页码: 1
作者:  Jia, Yinfeng;  Fu, Rui;  Ling, Chao;  Shen, Zheng;  Zheng, Liang;  Zhong, Zheng;  Hong YS(洪友士)
Adobe PDF(236Kb)  |  收藏  |  浏览/下载：93/3  |  提交时间：2023/12/11
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：58/0  |  提交时间：2023/06/15
Fatigue life prediction  Deep learning method  Laser powder bed fusion  Ti-6Al-4V  Very -high -cycle fatigue  
Effects of Wall Topology on Statistics of Cube-Roughened Wall Turbulence 期刊论文
BOUNDARY-LAYER METEOROLOGY, 2023, 卷号: 186, 期号: 2, 页码: 305-336
作者:  Li SL(李世隆);  Zhou ZD(周志登);  Chen DY(陈丹阳);  Yuan,Xianxu;  Guo,Qilong;  Yang XL(杨晓雷)
Adobe PDF(11087Kb)  |  收藏  |  浏览/下载：148/26  |  提交时间：2023/02/03
Roughness-resolved simulation  Direct numerical simulation  Cube-roughened surfaces  Roughness length