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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：295/52  |  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：407/72  |  Submit date：2021/05/17
Effectiveness of coarse graining degree and speedup on the dynamic properties of homopolymer 期刊论文
JOURNAL OF MOLECULAR MODELING, 2021, 卷号: 27, 期号: 2, 页码: 9
Authors:  Liao LJ(廖丽涓);  Meng CY(孟昶宇);  Huang CG(黄晨光)
Adobe PDF(2167Kb)  |  Favorite  |  View/Download：335/62  |  Submit date：2021/03/30
Coarse graining (CG) degree  Speedup  Iterative Boltzmann inversion (IBI)  Temperature transferability  Dynamic behavior  
Internal Damage Identification of Sandwich Panels With Truss Core Through Dynamic Properties and Deep Learning 期刊论文
FRONTIERS IN MATERIALS, 2020, 卷号: 7, 页码: 11
Authors:  Lu LL(路玲玲);  Wang YB(王亚博);  Bi JQ;  Liu C;  Song HW(宋宏伟);  Huang CG(黄晨光)
Adobe PDF(2730Kb)  |  Favorite  |  View/Download：269/91  |  Submit date：2020/11/30
sandwich panel with truss core  damage identification  deep learning  vibration-based damage index  feature extraction  
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：331/67  |  Submit date：2020/10/29
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：380/159  |  Submit date：2019/04/11
Deep neural network  channel flow  turbulence model  Reynolds stress