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Dynamic experimental studies of A6N01S-T5 aluminum alloy material and structure for high-speed trains 期刊论文
ACTA MECHANICA SINICA, 2019, 卷号: 35, 期号: 4, 页码: 763-772
Authors:  Liu ZS(刘子尚);  Yu YY;  Yang Z(杨哲);  Wei YP(魏延鹏);  Cai JS;  Li MH;  Huang CG(黄晨光)
View  |  Adobe PDF(2832Kb)  |  Favorite  |  View/Download：588/130  |  Submit date：2019/10/14
Dynamic failure strain  Constitutive model  Dynamic mechanical properties  
确定前期固结压力的一个简单数学模型 期刊论文
土木工程学报, 2019, 卷号: 52, 期号: S2, 页码: 30-34+50
Authors:  刘林;  鲁晓兵;  王淑云
View  |  Adobe PDF(1058Kb)  |  Favorite  |  View/Download：241/75  |  Submit date：2019/09/12
前期固结压力  一维压缩线  应力历史  超固结土  
Nanomechanics of graphene 期刊论文
NATIONAL SCIENCE REVIEW, 2019, 卷号: 6, 期号: 2, 页码: 324-348
Authors:  Wei YJ(魏宇杰);  Yang RG(杨荣贵)
View  |  Adobe PDF(1360Kb)  |  Favorite  |  View/Download：306/77  |  Submit date：2019/12/02
graphene  strength  wrinkling  pentagon-heptagon rings  carbon honeycomb  
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：379/159  |  Submit date：2019/04/11
Deep neural network  channel flow  turbulence model  Reynolds stress