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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
作者:  Li B(李波);  Yao W(姚卫);  Li YC(李亚超);  Fan XJ(范学军)
Adobe PDF(5169Kb)  |  收藏  |  浏览/下载：102/26  |  提交时间：2022/10/25
Heat release rate (HRR)  Artificial neural network (ANN)  Proper orthogonal -12omposition (POD)  Chemiluminescence  Supersonic hydrogen flame  
Influences of Domain Symmetry on Supersonic Combustion Modeling 期刊论文
JOURNAL OF PROPULSION AND POWER, 2019, 卷号: 35, 期号: 2, 页码: 451-465
作者:  Yao W(姚卫);  Wu K(吴坤);  Fan XJ(范学军)
Adobe PDF(862Kb)  |  收藏  |  浏览/下载：321/97  |  提交时间：2019/04/11
Application of dynamic zone flamelet model to a GH2/GO2 rocket combustor 会议论文
AIAA Propulsion and Energy Forum and Exposition, 2019, Indianapolis, IN, United states, August 19, 2019 - August 22, 2019
作者:  Yao W(姚卫);  Li B(李波)
Adobe PDF(1665Kb)  |  收藏  |  浏览/下载：140/43  |  提交时间：2020/11/20
Dynamic zone flamelet model  GH2/GO2  Large Eddy Simulation (LES)  Rocket combustor  Turbulence-chemistry interaction  
An accurate treatment of diffuse reflection boundary conditions for a stochastic particle Fokker-Planck algorithm with large time steps 期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2015, 卷号: 440, 页码: 139-146
作者:  Onskog T;  Zhang J;  Onskog, T (reprint author), KTH Royal Inst Technol, Dept Math, SE-10044 Stockholm, Sweden.
浏览  |  Adobe PDF(538Kb)  |  收藏  |  浏览/下载：245/68  |  提交时间：2016/01/08
Ratified Gas Flows  Fokker-planck Equation  Langevin Simulation  Boundary Conditions  Stochastic Differential Equations  First Hitting Time  
Parse-matrix evolution for symbolic regression 期刊论文
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2012, 卷号: 25, 期号: 6, 页码: 1182-1193
作者:  Luo ZT(罗长童);  Zhang SL(张绍良);  Luo, CT;  Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China.
Adobe PDF(616Kb)  |  收藏  |  浏览/下载：801/274  |  提交时间：2013/01/18
Genetic Programming  Data Analysis  Symbolic Regression  Grammatical Evolution  Artificial Intelligence  Evolutionary Computation  Nonlinear-systems  Identification