中文版 | English

在结果中检索

IMECH-IR

浏览/检索结果: 共24条，第1-10条 帮助

限定条件                    
已选(0)清除 条数/页：   排序方式：
A feasibility study on applying meta-heuristic optimization and Gaussian process regression for predicting the performance of pantograph-catenary system 期刊论文
ACTA MECHANICA SINICA, 2024, 卷号: 40, 期号: 1, 页码: 12
作者:  Zhang MH(张莫晗);  Yin B(银波);  Sun ZX(孙振旭);  Bai, Ye;  Yang GW(杨国伟)
收藏  |  浏览/下载：54/0  |  提交时间：2024/02/26
Pantograph-catenary system  Gaussian process regression  Surrogate model  Physical-based model  
Aerodynamic-Aeroacoustic Optimization of a Baseline Wing and Flap Configuration 期刊论文
APPLIED SCIENCES-BASEL, 2022, 卷号: 12, 期号: 3, 页码: 19
作者:  Ju SJ(鞠胜军);  Sun ZX(孙振旭);  Guo DL(郭迪龙);  Yang GW(杨国伟);  Wang YT(王业腾);  Yan C(闫畅)
Adobe PDF(12043Kb)  |  收藏  |  浏览/下载：272/38  |  提交时间：2022/03/28
high-lift devices  computational fluid dynamics  computational aeroacoustics  Kriging surrogate model  optimization design  
Multi-objective robust optimization of a solar power tower plant under uncertainty 期刊论文
ENERGY, 2022, 卷号: 238, 页码: 11
作者:  Luo, Yan;  Wang, Zhiyuan;  Zhu, Jiamin;  Lu, Tao;  Xiao, Gang;  Chu, Fengming;  Wang RX(王睿星)
Adobe PDF(2614Kb)  |  收藏  |  浏览/下载：414/100  |  提交时间：2021/11/01
Solar power tower plant system  Uncertainty propagation  Multi-objective robust optimization  Global sensitivity analysis  Levelized cost of energy  
Aerodynamic shape optimization of an urban maglev train 期刊论文
ACTA MECHANICA SINICA, 2021, 页码: 16
作者:  Sun ZX(孙振旭);  Wang MY(王梦莹);  Wei LY(魏涟漪);  Kong FB;  Yang GW(杨国伟)
Adobe PDF(2376Kb)  |  收藏  |  浏览/下载：306/79  |  提交时间：2021/06/15
Urban maglev train  Aerodynamic characteristics  Cross validation  Kriging model  Genetic algorithm  
Intelligent modelling of clay compressibility using hybrid meta-heuristic and machine learning algorithms 期刊论文
GEOSCIENCE FRONTIERS, 2021, 卷号: 12, 期号: 1, 页码: 441-452
作者:  Zhang, Pin;  Yin, Zhen-Yu;  Jin, Yin-Fu;  Chan, Tommy H. T.;  Gao FP(高福平)
Adobe PDF(2604Kb)  |  收藏  |  浏览/下载：177/36  |  提交时间：2021/03/03
Compressibility  Clays  Machine learning  Optimization  Random forest  Genetic algorithm  
Energy performance prediction of the centrifugal pumps by using a hybrid neural network 期刊论文
Energy, 2020, 卷号: 213, 页码: 119005
作者:  Huang RF(黄仁芳);  Zhang Z(张珍);  Zhang W;  Mou JG;  Zhou PJ;  Wang YW(王一伟)
Adobe PDF(4596Kb)  |  收藏  |  浏览/下载：322/138  |  提交时间：2021/01/29
Centrifugal pump  Energy performance  Loss model  Physics-informed neural network  
Reverse jet parameters study on aerodynamic thermal uncertainty of a blunt body 期刊论文
AEROSPACE SCIENCE AND TECHNOLOGY, 2020, 卷号: 107, 页码: 106260
作者:  Zhang W;  Wang S;  Wang Q;  Ju SJ(鞠胜军);  Yan C
Adobe PDF(2859Kb)  |  收藏  |  浏览/下载：264/102  |  提交时间：2021/02/09
Aerodynamic thermal  Opposing jets  Parametric sensitivity analysis  Uncertainty quantification  Analysis of Variance  Non-Intrusive Polynomial Chaos  
Multi-objective design optimization of the combinational configuration of the upstream energy deposition and opposing jet for drag reduction in supersonic flows 期刊论文
AEROSPACE SCIENCE AND TECHNOLOGY, 2020, 卷号: 105, 页码: 10
作者:  Ju SJ(鞠胜军);  Sun ZX(孙振旭);  Yang GW(杨国伟);  Prapamonthon P;  Zhang JY
Adobe PDF(3818Kb)  |  收藏  |  浏览/下载：426/106  |  提交时间：2020/11/30
Optimization design  Drag reduction  Supersonic flow  Energy deposition  Opposing jet  
Recent progress in flexibility effects on wing aerodynamics and acoustics 期刊论文
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2020, 页码: 37
作者:  Prapamonthon P;  Yin B(银波);  Yang GW(杨国伟);  Zhang MH(张莫晗);  Lu PP(卢盼盼)
Adobe PDF(3624Kb)  |  收藏  |  浏览/下载：368/215  |  提交时间：2020/08/26
Flexibility  wing  lift  propulsion  acoustics  
Parametric study on drag reduction with the combination of the upstream energy deposition and the opposing jet configuration in supersonic flows 期刊论文
ACTA ASTRONAUTICA, 2020, 卷号: 171, 页码: 300-310
作者:  Ju SJ;  Sun ZX(孙振旭);  Yang GW(杨国伟);  Prapamonthon P;  Zhang JY
Adobe PDF(3216Kb)  |  收藏  |  浏览/下载：331/88  |  提交时间：2020/05/18
Computational fluid dynamics  Drag reduction  Supersonic flow  Energy deposition  Opposing jet