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Multi-objective robust optimization of a solar power tower plant under uncertainty 期刊论文
ENERGY, 2022, 卷号: 238, 页码: 11
Authors:  Luo, Yan;  Wang, Zhiyuan;  Zhu, Jiamin;  Lu, Tao;  Xiao, Gang;  Chu, Fengming;  Wang RX(王睿星)
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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
Authors:  Sun ZX(孙振旭);  Wang MY(王梦莹);  Wei LY(魏涟漪);  Kong FB;  Yang GW(杨国伟)
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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
Authors:  Zhang, Pin;  Yin, Zhen-Yu;  Jin, Yin-Fu;  Chan, Tommy H. T.;  Gao FP(高福平)
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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
Authors:  Huang RF(黄仁芳);  Zhang Z(张珍);  Zhang W;  Mou JG;  Zhou PJ;  Wang YW(王一伟)
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Centrifugal pump  Energy performance  Loss model  Physics-informed neural network  
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
Authors:  Ju SJ(鞠胜军);  Sun ZX(孙振旭);  Yang GW(杨国伟);  Prapamonthon P;  Zhang JY
Adobe PDF(3818Kb)  |  Favorite  |  View/Download:429/108  |  Submit date:2020/11/30
Optimization design  Drag reduction  Supersonic flow  Energy deposition  Opposing jet  
A LSTM surrogate modelling approach for caisson foundations 期刊论文
OCEAN ENGINEERING, 2020, 卷号: 204, 页码: 13
Authors:  Zhang P;  Yin ZY;  Zheng YY;  Gao FP(高福平)
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Caisson foundation  Failure envelope  Smoothed particle hydrodynamics  Long short-term memory  
Research on aerodynamic optimization of high-speed train's slipstream 期刊论文
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS, 2020, 卷号: 14, 期号: 1, 页码: 1106-1127
Authors:  Sun ZX(孙振旭);  Yao SB(姚拴宝);  Yang GW(杨国伟)
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A novel CACOR-SVR multi-objective optimization approach and its application in aerodynamic shape optimization of high-speed train 期刊论文
SOFT COMPUTING, 2019, 卷号: 23, 期号: 13, 页码: 5035-5051
Authors:  Zhang Y;  Guo DL(郭迪龙);  Sun ZX(孙振旭);  Chen DW
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Chaos ant colony optimization  Support vector machine  Multi-objective optimization  Vehicle modeling function  High-speed trains  
An interval updating model for composite structures optimization 期刊论文
COMPOSITE STRUCTURES, 2019, 卷号: 209, 页码: 177-191
Authors:  Shi QH;  Wang XJ;  Wang RX(王睿星);  Chen X;  Ma YJ
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Composite structural design  Model updating  Uncertainty  Progressive failure analysis  
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
Authors:  Ju Y;  Liu P;  Zhang DS;  Dong JB;  Ranjith PG;  Chang C
View  |  Adobe PDF(10124Kb)  |  Favorite  |  View/Download:269/113  |  Submit date:2018/10/30
preferential flow  porous structure  topological networks  flow resistance  Darcy's law  experimental validation