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Data-driven turbulence model for unsteady cavitating flow 期刊论文
PHYSICS OF FLUIDS, 2023, 卷号: 35, 期号: 1, 页码: 18
Authors:  Zhang Z(张珍);  Wang JZ(王静竹);  Huang RF(黄仁芳);  Qiu RD(丘润荻);  Chu, Xuesen;  Ye SR(叶舒然);  Wang YW(王一伟);  Liu, Qingkuan
Adobe PDF(4681Kb)  |  Favorite  |  View/Download：171/9  |  Submit date：2023/02/27
Mesoscale analysis of the suction stress characteristic curve for unsaturated granular materials 期刊论文
PARTICUOLOGY, 2021, 卷号: 56, 页码: 183-192
Authors:  Wang XL(王晓亮);  Zhang Z(张珍);  Li JC(李家春);  Liu QQ(刘青泉)
Adobe PDF(2899Kb)  |  Favorite  |  View/Download：398/66  |  Submit date：2021/05/17
Suction stress  Liquid bridge  Unsaturated granular material  Discrete element method  
A semi-implicit discrepancy model of Reynolds stress in a higher-order tensor basis framework for Reynolds-averaged Navier-Stokes simulations 期刊论文
AIP ADVANCES, 2021, 卷号: 11, 期号: 4, 页码: 17
Authors:  Zhang Z(张珍);  Ye SR(叶舒然);  Yin B(银波);  Song, Xudong;  Wang YW(王一伟);  Huang CG(黄晨光);  Chen, Yaosong
Adobe PDF(9395Kb)  |  Favorite  |  View/Download：299/53  |  Submit date：2021/06/07
A machine learning model for predicting the ballistic impact resistance of unidirectional fiber-reinforced composite plate 期刊论文
SCIENTIFIC REPORTS, 2021, 卷号: 11, 期号: 1, 页码: 10
Authors:  Lei XD(雷旭东);  Wu XQ(吴先前);  Zhang Z(张珍);  Xiao KL(肖凯璐);  Wang YW(王一伟);  Huang CG(黄晨光)
Adobe PDF(1965Kb)  |  Favorite  |  View/Download：410/72  |  Submit date：2021/05/17
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
Authors:  Huang RF(黄仁芳);  Zhang Z(张珍);  Zhang W;  Mou JG;  Zhou PJ;  Wang YW(王一伟)
Adobe PDF(4596Kb)  |  Favorite  |  View/Download：343/144  |  Submit date：2021/01/29
Centrifugal pump  Energy performance  Loss model  Physics-informed neural network  
A flow feature detection method for modeling pressure distribution around a cylinder in non-uniform flows by using a convolutional neural network 期刊论文
SCIENTIFIC REPORTS, 2020, 卷号: 10, 期号: 1, 页码: 10
Authors:  Ye SR(叶舒然);  Zhang Z(张珍);  Song XD;  Wang YW(王一伟);  Chen YS;  Huang CG(黄晨光)
Adobe PDF(4204Kb)  |  Favorite  |  View/Download：335/67  |  Submit date：2020/10/29
Triaxial behavior of granular material under complex loading path by a new numerical true triaxial engine 期刊论文
ADVANCED POWDER TECHNOLOGY, 2019, 卷号: 30, 期号: 4, 页码: 700-706
Authors:  Wang XL(王晓亮);  Zhang Z(张珍);  Li JC(李家春)
View  |  Adobe PDF(2025Kb)  |  Favorite  |  View/Download：361/133  |  Submit date：2019/05/30
Granular material  Stress path  Strength criterion  Discrete element method  Numerical true triaxial engine  
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：388/161  |  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：135/0  |  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：120/0  |  Submit date：2020/11/20
Convolutional neural networks  Flow field analysis  Pressure prediction  Transfer learning