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Force measurement using strain-gauge balance in shock tunnel based on deep learning 期刊论文
CHINESE JOURNAL OF AERONAUTICS, 2023, 卷号: 36, 期号: 8, 页码: 43-53
作者:  Nie SJ(聂少军);  Wang YP(汪运鹏);  Jiang ZL(姜宗林)
Adobe PDF(2346Kb)  |  收藏  |  浏览/下载：16/0  |  提交时间：2024/02/26
Convolutional neural net-works  Deep learning  Frequency domain analysis  Force measurement  Time domain analysis  Recurrent neural networks  
New method of in situ high-resolution experiments and analysis of fracture networks formed by hydraulic fracturing 期刊论文
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2022, 卷号: 217, 页码: 11
作者:  Zheng SP(郑思平);  Lin M(林缅);  Jiang WB(江文滨);  Qiu X(邱鑫);  Chen Z(陈卓)
Adobe PDF(9888Kb)  |  收藏  |  浏览/下载：174/34  |  提交时间：2022/09/16
Hydraulic fracturing  In situ  High-resolution  Tight sandstone  Fracture networks  
Microstructure evolution in Si+ ion irradiated and annealed Ti3SiC2 MAX phase 期刊论文
JOURNAL OF THE AMERICAN CERAMIC SOCIETY, 2022, 页码: 8
作者:  Ye, Chao;  Chang, Qing;  Lei, Penghui;  Dong, Wenhui;  Peng Q(彭庆)
Adobe PDF(2055Kb)  |  收藏  |  浏览/下载：165/40  |  提交时间：2022/06/11
annealing  dislocation networks  ion irradiation  ripplocations  Ti3SiC2  
HiDeNN-TD: Reduced-order hierarchical deep learning neural networks 期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2022, 卷号: 389, 页码: 33
作者:  Zhang L(张磊);  Lu, Ye;  Tang, Shaoqiang;  Liu, Wing Kam
Adobe PDF(4228Kb)  |  收藏  |  浏览/下载：196/46  |  提交时间：2022/02/17
Hierarchical deep-learning neural networks  Proper generalized decomposition  Canonical tensor decomposition  Reduced order finite element method  Convergence study and error bound  
Aggregation of nanoparticles and their effect on mechanical properties of carbon nanotube networks 期刊论文
COMPUTATIONAL MATERIALS SCIENCE, 2022, 卷号: 202, 页码: 8
作者:  Wu, Yue;  Wang C(王超);  Yang T(杨田)
Adobe PDF(12531Kb)  |  收藏  |  浏览/下载：236/34  |  提交时间：2022/01/12
Carbon nanotube networks  Nanoparticles  Microstructure  Mechanical properties  Coarse-grained molecular dynamics  
A Direct-Forcing Immersed Boundary Method for Incompressible Flows Based on Physics-Informed Neural Network 期刊论文
Fluids, 2022, 卷号: 7, 期号: 2, 页码: 56
作者:  Huang Y(黄毅);  Zhang ZY(张治愚);  Zhang X(张星)
Adobe PDF(6539Kb)  |  收藏  |  浏览/下载：352/80  |  提交时间：2022/01/27
physics-informed neural networks (PINN)  direct-forcing immersed boundary method  incompressible laminar flow  circular cylinder  
Analysis and prediction of high-speed train wheel wear based on SIMPACK and backpropagation neural networks 期刊论文
EXPERT SYSTEMS, 2021, 卷号: 38, 期号: 7, 页码: 11
作者:  Wang, Shuwen;  Yan, Hao;  Liu, Caixia;  Fan, Ning;  Liu XM(刘小明);  Wang, Chengguo
Adobe PDF(1092Kb)  |  收藏  |  浏览/下载：210/50  |  提交时间：2021/11/01
BP neural networks  high-speed train  SIMPACK  wheel wear  
Characterizing liver sinusoidal endothelial cell fenestrae on soft substrates upon AFM imaging and deep learning 期刊论文
BIOCHIMICA ET BIOPHYSICA ACTA-GENERAL SUBJECTS, 2020, 卷号: 1864, 期号: 12, 页码: 9
作者:  Li PW(李培文);  Zhou J(周瑾);  Li W(李旺);  Wu H(吴欢);  Hu JR(胡锦荣);  Ding QH(丁奇寒);  Lv SQ(吕守芹);  Pan J;  Zhang CY;  Li N(李宁);  Long M(龙勉)
Adobe PDF(4976Kb)  |  收藏  |  浏览/下载：641/371  |  提交时间：2020/11/30
Liver sinusoidal endothelial cells  Fenestrae  Atomic force microscopy  Imaging recognition  Fully convolutional networks  Substrate stiffness  
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
作者:  Ye SR(叶舒然);  Wang YW(王一伟);  Zhang Z(张珍);  Huang CG(黄晨光)
收藏  |  浏览/下载：111/0  |  提交时间：2020/11/20
Convolutional neural networks  Flow field analysis  Pressure prediction  Transfer learning  
Prediction of preferential fluid flow in porous structures based on topological network models: Algorithm and experimental validation 期刊论文
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2018, 卷号: 61, 期号: 8, 页码: 1217-1227
作者:  Ju Y;  Liu P;  Zhang DS;  Dong JB;  Ranjith PG;  Chang C
浏览  |  Adobe PDF(10124Kb)  |  收藏  |  浏览/下载：248/103  |  提交时间：2018/10/30
preferential flow  porous structure  topological networks  flow resistance  Darcy's law  experimental validation