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Application of deep learning method to Reynolds stress models of channel flow based on reduced-order modeling of DNS data 期刊论文
JOURNAL OF HYDRODYNAMICS, 2019, 卷号: 31, 期号: 1, 页码: 58-65
Authors:  Zhang Z(张珍);  Song XD;  Ye SR;  Wang YW(王一伟);  Huang CG(黄晨光);  An YR;  Chen YS
View  |  Adobe PDF(1492Kb)  |  Favorite  |  View/Download：394/165  |  Submit date：2019/04/11
Deep neural network  channel flow  turbulence model  Reynolds stress  
Reconstruction of RANS model and cross-validation of flow field based on tensor basis neural network 会议论文
ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference, AJKFluids 2019, San Francisco, CA, United states, July 28, 2019 - August 1, 2019
Authors:  Song XD;  Zhang Z(张珍);  Wang YW(王一伟);  Ye SR(叶舒然);  Huang CG(黄晨光)
Favorite  |  View/Download：136/0  |  Submit date：2020/11/20
Cross-validation  Multi-layer neural network  Reynolds stress  Turbulence model  
Transfer learning for modeling pressure coefficient around cylinder using CNN 会议论文
29th International Ocean and Polar Engineering Conference, ISOPE 2019, Honolulu, HI, United states, June 16, 2019 - June 21, 2019
Authors:  Ye SR(叶舒然);  Wang YW(王一伟);  Zhang Z(张珍);  Huang CG(黄晨光)
Favorite  |  View/Download：122/0  |  Submit date：2020/11/20
Convolutional neural networks  Flow field analysis  Pressure prediction  Transfer learning