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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：367/86  |  提交时间：2022/01/27
physics-informed neural networks (PINN)  direct-forcing immersed boundary method  incompressible laminar flow  circular cylinder  
The role of structural monitoring in the management of risks associated to dams 会议论文
International Symposium on Reliability Engineering and Risk Management (ISRERM2010), Shanghai, China, 2010-09-23~2010-09-26
作者:  Grosso AD;  Inaudi D;  Cottone I;  Wu MX(吴梦喜);  A. Del Grosso
Adobe PDF(538Kb)  |  收藏  |  浏览/下载：802/293  |  提交时间：2010/12/20