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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：218/53  |  提交时间：2021/11/01
BP neural networks  high-speed train  SIMPACK  wheel wear  
Continuous contact force model with an arbitrary damping term exponent: Model and discussion 期刊论文
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2021, 卷号: 159, 页码: 17
作者:  Zhang, Jie;  Huang, Can;  Zhao, Lei;  Di, Jiejian;  He, Guangping;  Li WH(李文皓)
Adobe PDF(1925Kb)  |  收藏  |  浏览/下载：426/56  |  提交时间：2021/06/15
Contact model  Impact  Damping term exponent  Approximate dynamic equation  
Machine learning atomic-scale stiffness in metallic glass 期刊论文
EXTREME MECHANICS LETTERS, 2021, 卷号: 48, 页码: 5
作者:  Peng ZH(彭正瀚);  Yang ZY(杨增宇);  Wang YJ(王云江)
Adobe PDF(1663Kb)  |  收藏  |  浏览/下载：325/56  |  提交时间：2021/09/08
Metallic glass  Machine learning  Atomic stiffness  Molecular dynamics  
Physics-driven machine learning model on temperature and time-dependent deformation in lithium metal and its finite element implementation 期刊论文
JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS, 2021, 卷号: 153, 页码: 104481
作者:  Wen JC(温济慈);  Zou, Qingrong;  Wei YJ(魏宇杰)
Adobe PDF(3559Kb)  |  收藏  |  浏览/下载：260/68  |  提交时间：2022/10/25
Physics-driven machine learning  Lithium-metal anode  Creep  Finite-element analysis  Constitutive model  
Deep Learning Based Semi-Supervised Control for Vertical Security of Maglev Vehicle With Guaranteed Bounded Airgap 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 22, 期号: 7, 页码: 4431-4442
作者:  Sun, Yougang;  Xu, Junqi;  Wu H(吴晗);  Lin, Guobin;  Mumtaz, Shahid
Adobe PDF(2003Kb)  |  收藏  |  浏览/下载：292/118  |  提交时间：2021/08/16
Extended state observer  intelligent control  nonlinear dynamics  state constrains  vertical security  
Wall model based on neural networks for LES of turbulent flows over periodic hills 期刊论文
PHYSICAL REVIEW FLUIDS, 2021, 卷号: 6, 期号: 5, 页码: 30
作者:  Zhou ZD(周志登);  He GW(何国威);  Yang XL(杨晓雷)
Adobe PDF(3290Kb)  |  收藏  |  浏览/下载：275/108  |  提交时间：2021/08/03
Machine learning assisted fast prediction of inertial lift in microchannels 期刊论文
LAB ON A CHIP, 2021, 页码: 13
作者:  Su JH(苏敬宏);  Chen XD(陈晓东);  Zhu YZ(朱勇铮);  Hu GQ(胡国庆)
Adobe PDF(7711Kb)  |  收藏  |  浏览/下载：403/110  |  提交时间：2021/06/07
Reconstruction model for heat release rate based on artificial neural network 期刊论文
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2021, 卷号: 46, 期号: 37, 页码: 19599-19616
作者:  Li B(李波);  Yao W(姚卫);  Li YC(李亚超);  Fan XJ(范学军)
Adobe PDF(5169Kb)  |  收藏  |  浏览/下载：104/26  |  提交时间：2022/10/25
Heat release rate (HRR)  Artificial neural network (ANN)  Proper orthogonal -12omposition (POD)  Chemiluminescence  Supersonic hydrogen flame  
Predicting the components and types of kerogen in shale by combining machine learning with NMR spectra 期刊论文
FUEL, 2021, 卷号: 290, 页码: 10
作者:  Kang DL(康东亮);  Wang XH(王晓荷);  Zheng XJ(郑晓娇);  Zhao YP(赵亚溥)
Adobe PDF(5174Kb)  |  收藏  |  浏览/下载：381/137  |  提交时间：2021/03/30
Machine learning  Kerogen and shale  Molecular structure  High-throughput prediction  NMR spectra datasets  
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
作者:  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)  |  收藏  |  浏览/下载：268/43  |  提交时间：2021/06/07