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A Data-Correlation Model of Aerodynamic Heating Based on Globally Optimal Learning Method 会议论文
16th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2020), 西安,中国, 19-21 December 2020
Authors:  Chen Z(陈阵);  Li S(李森);  Luo ZT(罗长童);  Jiang ZL(姜宗林)
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基于建表技术的化学加速并行算法在气相爆轰数值模拟中的应用 会议论文
中国力学大会, 中国浙江杭州, 2019年8月25-28日
Authors:  董刚;  吴锦涛;  刘云峰
View  |  Adobe PDF(1358Kb)  |  Favorite  |  View/Download:197/47  |  Submit date:2019/11/21
建表  化学加速  气相爆轰  计算精度和效率  数值模拟  
A Multi-space Interrelation Theory for Correlating Aerodynamic Data from Hypersonic Ground Testing 会议论文
31st International Symposium on Shock Waves, Nagoya, Japan, 2017-07-9~14
Authors:  Jiang ZL(姜宗林);  Luo ZT(罗长童)
View  |  Adobe PDF(377Kb)  |  Favorite  |  View/Download:174/40  |  Submit date:2020/01/06
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
Authors:  Yao W(姚卫);  Li B(李波)
Adobe PDF(1665Kb)  |  Favorite  |  View/Download:173/51  |  Submit date:2020/11/20
Dynamic zone flamelet model  GH2/GO2  Large Eddy Simulation (LES)  Rocket combustor  Turbulence-chemistry interaction  
Prediction of kerosene properties at supercritical pressures by Artificial Neural Network 会议论文
2018 Joint Propulsion Conference, Cincinnati, Ohio. , July 9-11, 2018
Authors:  Li B;  Lee YC(李亚超);  Yao W(姚卫);  Lu Y(陆阳);  Fan XJ(范学军)
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Prediction of kerosene properties at supercritical pressures by Artificial Neural Network 会议论文
2018 Joint Propulsion Conference, Cincinnati, Ohio., July 9-11, 2018
Authors:  Li B(李波);  Lee YC(李亚超);  Yao W(姚卫);  Fan XJ(范学军)
View  |  Adobe PDF(1813Kb)  |  Favorite  |  View/Download:284/75  |  Submit date:2020/08/27
A comparative study of elliptical and round scramjet combustors by Improved Delayed Detached Eddy Simulation 会议论文
21st AIAA International Space Planes and Hypersonics Technologies Conference, Xiamen, China, 6-9 March 2017
Authors:  Yao W(姚卫);  Yuan YM(袁越明);  Li XP(李晓鹏);  Wang J(王晶);  Fan XJ(范学军);  Fan, Xuejun(xfan@imech.ac.cn)
Adobe PDF(1173Kb)  |  Favorite  |  View/Download:485/234  |  Submit date:2018/01/16
Adiabatic Flame Temperature  Aerodynamics  Boundary Layer Flow  Boundary Layers  Chemical Analysis  Combustion  Computational Chemistry  Directed Graphs  Flow Separation  Mach Number  Principal Component Analysis  Regression Analysis  Sensitivity Analysis  Spacecraft  Supersonic Aerodynamics  Supersonic Aircraft  Transients  
Development of zone flamelet model for scramjet combustor modeling 会议论文
21st AIAA International Space Planes and Hypersonics Technologies Conference, Xiamen, China, 6-9 March 2017
Authors:  Yao W(姚卫);  Fan XJ(范学军)
View  |  Adobe PDF(623Kb)  |  Favorite  |  View/Download:298/105  |  Submit date:2018/01/16
Combustion  Cost Benefit Analysis  Costs  Mixtures  Spacecraft  Supersonic Aircraft  
Development of zone flamelet modelfor scramjet combustor modeling 会议论文
21st AIAA International Space Planes and Hypersonics Technologies Conference, Hypersonics 2017, Xiamen, China, March 6, 2017 - March 9, 2017
Authors:  Yao W(姚卫);  Fan XJ(范学军)
View  |  Adobe PDF(832Kb)  |  Favorite  |  View/Download:314/95  |  Submit date:2018/11/08
Combustion  Cost benefit analysis  Costs  Mixtures  Ramjet engines  Supersonic aircraft  Computational costs  Equivalence ratios  Local flow conditions  Scramjet combustors  Statistics approaches  Supersonic combustion  Supersonic combustors  Turbulent combustion  
Elite bases regression: A real-time algorithm for symbolic regression 会议论文
13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2017, Guilin, Guangxi, China, July 29, 2017 - July 31, 2017
Authors:  Chen C(陈辰);  Luo ZT(罗长童);  Jiang ZL(姜宗林)
View  |  Adobe PDF(245Kb)  |  Favorite  |  View/Download:246/65  |  Submit date:2018/11/08
Data mining  Fuzzy systems  Genetic algorithms  Genetic programming  Iterative methods  Learning systems  Comparative studies  Correlation coefficient  Function extraction  Large  scale problem  Machine learning methods  Real time algorithms  Symbolic regression  Symbolic regression problems