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A Direct-Forcing Immersed Boundary Method for Incompressible Flows Based on Physics-Informed Neural Network 期刊论文
Fluids, 2022, 卷号: 7, 期号: 2, 页码: 56
作者:  Huang Y(黄毅);  Zhang ZY(张治愚);  Zhang X(张星)
Adobe PDF(6539Kb)  |  收藏  |  浏览/下载：349/79  |  提交时间：2022/01/27
physics-informed neural networks (PINN)  direct-forcing immersed boundary method  incompressible laminar flow  circular cylinder  
Influences of Structural Damping and Buoyancy-Weight Ratio on Dynamic Responses of Submerged Floating Tunnel 会议论文
The 5th Symposium on Strait Crossings, Trondheim, Norway, June 21-24, 2009
作者:  Long X(龙旭);  Ge F(葛斐);  Wang L(王雷);  Hong YS(洪友士)
Adobe PDF(357Kb)  |  收藏  |  浏览/下载：1910/369  |  提交时间：2009/12/29
Contimuum Mesomechanical Finite Element Modeling in Materials Development: A State-of-the-Art Review 期刊论文
力学进展, 2002, 卷号: 32, 期号: 3, 页码: 444-466
作者:  Leon L Mishnaevskv Jr;  Siegfried Schmauder;  陈少华译
Adobe PDF(251Kb)  |  收藏  |  浏览/下载：3175/1234  |  提交时间：2007/06/15