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姚卫 [6]
李亚超 [6]
范学军 [5]
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Creator:yaowei分姚卫
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Reconstruction model for heat release rate based on artificial neural network
期刊论文
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2021, 卷号: 46, 期号: 37, 页码: 19599-19616
Authors:
Li B(李波)
;
Yao W(姚卫)
;
Li YC(李亚超)
;
Fan XJ(范学军)
Adobe PDF(5169Kb)
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Submit date:2022/10/25
Heat release rate (HRR)
Artificial neural network (ANN)
Proper orthogonal -12omposition (POD)
Chemiluminescence
Supersonic hydrogen flame
Development and application of ANN model for property prediction of supercritical kerosene
期刊论文
Computers and Fluids, 2020, 卷号: 209, 期号: 2020, 页码: 1-18
Authors:
Li B(李波)
;
Lee YC(李亚超)
;
Yao W(姚卫)
;
Fan XJ(范学军)
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View/Download:369/131
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Submit date:2020/08/27
Artificial Neural Network (Ann)
Principle Of Extended Corresponding State (Ecs)
Rp-3 Kerosene
Superitical Pressure
Openfoam
Supercritical GN2/GH2 jet modeled by the ECS method
会议论文
AIAA Propulsion and Energy Forum and Exposition, 2019, Indianapolis, IN, United states, August 19, 2019 - August 22, 2019
Authors:
Yao W(姚卫)
;
Jin YC(靳一超)
;
Lee YC(李亚超)
Adobe PDF(1048Kb)
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Submit date:2020/11/20
Influence of Chemical Mechanisms on Supersonic Combustion Characteristics Fueled by Kerosene
会议论文
2018 Joint Propulsion Conference, Cincinnati, Ohio, July 9-11, 2018
Authors:
Yao W(姚卫)
;
Wu K(吴坤)
;
Lee YC(李亚超)
;
Fan XJ(范学军)
Adobe PDF(1156Kb)
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Submit date:2018/12/26
Low-Dissipative Hybrid Compressible Solver Designed for Large-Eddy Simulation of Supersonic Turbulent Flows
期刊论文
AIAA JOURNAL, 2018, 卷号: 56, 期号: 8, 页码: 3086-3096
Authors:
Lee YC(李亚超)
;
Yao W(姚卫)
;
Fan XJ(范学军)
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Submit date:2018/10/19
A low-dissipation solver based on OpenFOAM designed for large eddy simulation in compressible flows
会议论文
21st AIAA International Space Planes and Hypersonics Technologies Conference, Xiamen, China, 6-9 March 2017
Authors:
Lee YC(李亚超)
;
Yao W(姚卫)
;
Fan XJ(范学军)
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Submit date:2020/08/26
Low-dissipation compressible Solver, Skew-symmetric Form, Benchmark Flow Problems