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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
Authors:
Zhang MH(张莫晗)
;
Yin B(银波)
;
Sun ZX(孙振旭)
;
Bai, Ye
;
Yang GW(杨国伟)
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View/Download:87/0
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Submit date:2024/02/26
Pantograph-catenary system
Gaussian process regression
Surrogate model
Physical-based model
Direct observation of spreading precursor liquids in a corner
期刊论文
NATIONAL SCIENCE REVIEW, 2023, 页码: nwad119
Authors:
Miao, Weining
;
Tian SH(田诗豪)
;
Yuan QZ(袁泉子)
;
Tian, Ye
;
Jiang, Lei
Adobe PDF(1190Kb)
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View/Download:61/1
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Submit date:2023/06/15
precursor liquid
spreading spatial-temporal characteristic
direct observation
corner
ionic liquids
Application of deep learning method to Reynolds stress models of channel flow based on reduced-order modeling of DNS data
期刊论文
JOURNAL OF HYDRODYNAMICS, 2019, 卷号: 31, 期号: 1, 页码: 58-65
Authors:
Zhang Z(张珍)
;
Song XD
;
Ye SR
;
Wang YW(王一伟)
;
Huang CG(黄晨光)
;
An YR
;
Chen YS
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View/Download:402/168
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Submit date:2019/04/11
Deep neural network
channel flow
turbulence model
Reynolds stress