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高超声速激波/湍流边界层干扰的参数化研究及应用 学位论文
硕士论文,北京: 中国科学院大学, 2024
Authors:  纪相鑫
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激波/湍流边界层干扰  平均摩阻分解  平均热流分解  
基于椭偏技术的纳米薄膜弱物理信号解析及其应用研究 学位论文
博士论文,北京: 中国科学院大学, 2024
Authors:  王晨昱
Adobe PDF(6179Kb)  |  Favorite  |  View/Download:38/6  |  Submit date:2024/06/04
椭偏测量技术  光谱椭偏仪  成像椭偏传感器  小分子弱相互作用  弱应力检测  
复杂湍流大涡模拟模型及其应用研究 学位论文
硕士论文,北京: 中国科学院大学, 2024
Authors:  宋德培
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大涡模拟  亚格子模型  复杂湍流  螺旋度  
Direct numerical simulations of supersonic flat-plate turbulent boundary layers with uniform blowing 期刊论文
PHYSICS OF FLUIDS, 2024, 卷号: 36, 期号: 4, 页码: 17
Authors:  Guo TB(郭同彪);  Tong FL(童福林);  Ji XX(纪相鑫);  Li XL(李新亮)
Favorite  |  View/Download:20/0  |  Submit date:2024/05/27
Turbulent momentum and kinetic energy transfer of channel flow over three-dimensional wavy walls 期刊论文
PHYSICAL REVIEW FLUIDS, 2024, 卷号: 9, 期号: 2, 页码: 29
Authors:  Zhang EW(张恩伟);  Wang Z(王展);  Liu, Qingquan
Favorite  |  View/Download:72/0  |  Submit date:2024/04/29
Precise in-situ infrared spectra and kinetic analysis of gasification under the H2O or CO2 atmospheres 期刊论文
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2024, 卷号: 52, 页码: 46-57
Authors:  Zhang CH(张晨航);  Wu, Liangkai;  Kang RN(康润宁);  Bin F(宾峰);  Dou, Baojuan
Favorite  |  View/Download:51/0  |  Submit date:2024/02/19
Gasification  Steam  Carbon dioxide  Syngas production  Kinetics  
风力机叶片气动设计与尾迹机理研究 学位论文
博士论文,北京: 中国科学院大学, 2023
Authors:  董国丹
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风力机叶片设计  致动面模型  致动盘模型  风力机尾迹  尾迹蜿蜒  
Method of Selecting Active Parameters Using Sensitivity Analysis and Linear Programming 期刊论文
COMBUSTION SCIENCE AND TECHNOLOGY, 2023, 页码: 17
Authors:  Li YJ(李昱君);  Zhang TC(张泰昌);  Fang, Yunming;  Fan XJ(范学军)
Adobe PDF(3807Kb)  |  Favorite  |  View/Download:115/14  |  Submit date:2023/11/28
Active parameter  sensitivity analysis  linear programming  selection method  chemical kinetic model  
Hypersonic flow and heat transfer of a micro-rough plate in the near-continuum regime 期刊论文
PHYSICS OF FLUIDS, 2023, 卷号: 35, 期号: 10, 页码: 21
Authors:  Guo, Jinghui;  Wang XY(王小永);  Li, Sijia;  Lin, Guiping
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Predicting continuum breakdown with deep neural networks 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 卷号: 489, 页码: 112278
Authors:  Xiao TB(肖天白);  Schotthoefer, Steffen;  Frank, Martin
Adobe PDF(3004Kb)  |  Favorite  |  View/Download:38/3  |  Submit date:2023/09/05
Computational fluid dynamics  Kinetic theory  Boltzmann equation  Multi-scale method  Deep learning