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Energy performance prediction of the centrifugal pumps by using a hybrid neural network 期刊论文
Energy, 2020, 卷号: 213, 页码: 119005
作者:  Huang RF(黄仁芳);  Zhang Z(张珍);  Zhang W;  Mou JG;  Zhou PJ;  Wang YW(王一伟)
Adobe PDF(4596Kb)  |  收藏  |  浏览/下载：308/132  |  提交时间：2021/01/29
Centrifugal pump  Energy performance  Loss model  Physics-informed neural network  
A novel pore-fracture dual network modeling method considering dynamic cracking and its applications 期刊论文
Petroleum Research, 2020, 卷号: 5, 期号: 2, 页码: 164-169
作者:  Chen YK;  Yan K;  Zhang JG;  Leng RX;  Cheng HJ;  张旭辉, Liu HX;  Lyu WF
Adobe PDF(958Kb)  |  收藏  |  浏览/下载：157/48  |  提交时间：2021/06/11
Digital core  Dimensionless parameters  Dynamic cracking  Micro-fracture  Pore-fracture dual network model  Seepage characteristics  
Experimental and computational investigation of a full aircraft flutter at transonic speeds 会议论文
International Forum on Aeroelasticity and Structural Dynamics, IFASD 2013, Bristol, United kingdom, June 24, 2013 - June 27, 2013
作者:  Qian W;  Yang GW(杨国伟);  Luo JG;  Yang R;  Zhang GJ
收藏  |  浏览/下载：152/0  |  提交时间：2018/11/08
Aeroelasticity  Aircraft manufacture  Airframes  Computational fluid dynamics  Elastic waves  Flutter (aerodynamics)  Structural dynamics  Supersonic aircraft  Transonic aerodynamics  Viscous flow  Wind stress  Wind tunnels  Aircraft structure  CFD simulations  CFD/CSD  Computational investigation  Flutter boundary predictions  Transonic flutter  Unsteady aerodynamics  Wind tunnel tests