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Rapid prediction of interface morphology and oxygen transportation in crystal growth based on the response surface method 期刊论文
JOURNAL OF CRYSTAL GROWTH, 2025, 卷号: 649, 页码: 9./通讯作者:Chen, Xue, Li, Kai
Authors:  Yan, Dongxiu;  Guo ZY(郭子漪);  Chen X(陈雪);  Li K(李凯);  Zhao JF(赵建福);  Hu WR(胡文瑞)
Favorite  |  View/Download:39/0  |  Submit date:2024/11/22
Crystal growth  Heat and mass flow  Interfacial phenomenon  Czochralski method  Kriging-based response surface method  
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./通讯作者:Sun, Zhenxu
Authors:  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)  |  Favorite  |  View/Download:409/71  |  Submit date:2022/03/28
high-lift devices  computational fluid dynamics  computational aeroacoustics  Kriging surrogate model  optimization design  
Aerodynamic shape optimization of an urban maglev train 期刊论文
ACTA MECHANICA SINICA, 2021, 页码: 16./通讯作者:Sun, Z. X.
Authors:  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)  |  Favorite  |  View/Download:408/106  |  Submit date:2021/06/15
Urban maglev train  Aerodynamic characteristics  Cross validation  Kriging model  Genetic algorithm  
几何不确定性区间分析及鲁棒气动优化设计 期刊论文
北京航空航天大学学报, 2019, 页码: 15
Authors:  宋鑫;  郑冠男;  杨国伟;  姜倩
View  |  Adobe PDF(914Kb)  |  Favorite  |  View/Download:385/99  |  Submit date:2019/12/16
几何不确定性  非线性区间分析  DFFD(直接操作自由变形)  气动优化设计  鲁棒优化设计  自适应多目标粒子群算法  Kriging代理模型  
A robust aerodynamic optimization design for airfoil based on interval uncertainty analysis method 会议论文
ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference, AJKFluids 2019, San Francisco, CA, United states, July 28, 2019 - August 1, 2019
Authors:  Song X(宋鑫);  Zheng GN(郑冠男);  Yang GW(杨国伟)
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Adaptive MOPSO  DFFD  Geometric uncertainty  Interval analysis  Kriging model  Robust design optimization  
Surrogate Based Optimization of Aerodynamic Noise for Streamlined Shape of High Speed Trains 期刊论文
APPLIED SCIENCES-BASEL, 2017, 卷号: 7, 期号: 2
Authors:  Sun ZX(孙振旭);  Zhang Y;  Yang GW(杨国伟);  Sun, ZX (reprint author), Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid Solid Coupling Syst, Beijing 100190, Peoples R China.
View  |  Adobe PDF(6165Kb)  |  Favorite  |  View/Download:727/380  |  Submit date:2017/07/24
Aerodynamic Noise  Nlas  Kriging Model  Cross Validation  Equivalent Continuous Spl  
A study of the optimization design method for a high speed train 会议论文
THE THIRD INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE, Cagliari, Sardinia, Italy , 5-8 April 2016
Authors:  Zhao GL;  Sun ZX(孙振旭);  Yao SB(姚拴宝);  Guo DL(郭迪龙);  Yang GW(杨国伟)
Favorite  |  View/Download:231/0  |  Submit date:2018/11/08
Aerodynamic drag  Genetic algorithms  Lift  Railroad cars  Railroads  Aerodynamic lift  Ga  grnn  High speed train (HST)  Kriging model  Optimization design  Optimization method  Surrogate model  
Optimization design for aerodynamic elements of high speed trains 期刊论文
COMPUTERS & FLUIDS, 2014, 卷号: 95, 页码: 56-73
Authors:  Yao SB(姚拴宝);  Guo DL(郭迪龙);  Sun ZX(孙振旭);  Yang GW(杨国伟);  Chen DW(陈大伟);  Sun, ZX (reprint author), Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid Solid Coupling Syst, Beijing 100190, Peoples R China.
View  |  Adobe PDF(5428Kb)  |  Favorite  |  View/Download:1091/346  |  Submit date:2014/06/19
Wake Flow  Multi-objective Optimization  Cross-validation  Kriging  High Speed Trains  
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
Authors:  Yang GW(杨国伟);  Yao SB(姚拴宝);  Guo DL(郭迪龙)
Favorite  |  View/Download:208/0  |  Submit date: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  
基于混合遗传算法的高速列车截面变化率优化设计 期刊论文
科学技术与工程, 2013, 卷号: 13, 期号: 28, 页码: 123-129
Authors:  姚拴宝;  郭迪龙;  杨国伟
Adobe PDF(2810Kb)  |  Favorite  |  View/Download:684/230  |  Submit date:2013/12/23
混合算法  截面变化率  遗传算法  Kriging代理模型  高速列车