IMECH-IR

浏览/检索结果: 共5条,第1-5条 帮助

已选(0)清除 条数/页:   排序方式:
Sensor Head Temperature Distribution Reconstruction of High-Precision Gravitational Reference Sensors with Machine Learning 期刊论文
SENSORS, 2024, 卷号: 24, 期号: 8, 页码: 26./通讯作者:Qiang, Li-E
作者:  Duan ZC(段宗超);  Ren, Feilong;  Qiang, LiE;  Qi KQ(齐克奇);  Zhang HY(张昊越)
收藏  |  浏览/下载:73/0  |  提交时间:2024/05/27
gravitational reference sensors  temperature reconstruction  simulation  interpolation  machine learning  
Machine learning based very high cycle fatigue life prediction of AlSi10Mg alloy fabricated by selective laser melting 期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2023, 卷号: 171, 页码: 107585./通讯作者:Qian, GA (corresponding author), Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech LNM, Beijing 100190, Peoples R China., Qian, GA (corresponding author), Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China.
作者:  Shi T(时涛);  Sun JY(孙经雨);  Li JH(李江华);  Qian GA(钱桂安);  Hong YS(洪友士)
Adobe PDF(17637Kb)  |  收藏  |  浏览/下载:130/13  |  提交时间:2023/04/20
Very high cycle fatigue (VHCF)  Machine learning (ML)  Selective laser melting (SLM)  Fatigue life prediction  Interpolation  
Numerical studies of static aeroelastic effects on grid fin aerodynamic performances 期刊论文
CHINESE JOURNAL OF AERONAUTICS, 2017, 卷号: 30, 期号: 4, 页码: 1300-1314
作者:  Huang CD(黄程德);  Liu W(刘文);  Yang GW(杨国伟)
浏览  |  Adobe PDF(4021Kb)  |  收藏  |  浏览/下载:404/117  |  提交时间:2017/11/29
Aeroelasticity  Fluid-structure Interpolation  Grid Fin  Mesh Deformation  Radial Basis Function  
Frame-invariance in finite element formulations of geometrically exact rods 期刊论文
APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION, 2016, 卷号: 37, 期号: 12, 页码: 1669-1688
作者:  Zhong PN;  Huang GJ(黄国君);  Yang GW(杨国伟);  Yang, GW (reprint author), Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid Solid Coupling Syst, Beijing 100190, Peoples R China.
浏览  |  Adobe PDF(1090Kb)  |  收藏  |  浏览/下载:436/105  |  提交时间:2017/02/24
Geometrically Exact Rod  Finite Element Method  Interpolation  Equivariance  Frame Invariance  
Drag-reduction design on high-speed trains with intelligent optimization algorithm 会议论文
THE SECOND INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE, Ajaccio, Corsica, France, 8-11 April 2014
作者:  Yang GW(杨国伟);  Yao SB(姚拴宝);  Guo DL(郭迪龙)
收藏  |  浏览/下载:206/0  |  提交时间:2018/11/08
Aerodynamic drag  Aerodynamics  Ant colony optimization  Computational fluid dynamics  Deformation  Design  Drag reduction  Interpolation  Iterative methods  Radial basis function networks  Railroad cars  Railroad transportation  Railroads  Aerodynamic optimization  Grid deformation  High speed train (HST)  Intelligent optimization algorithm  Kriging surrogate model