Chinese | English

Search in the results

IMECH-IR

Browse/Search Results:  1-10 of 27 Help

Filters        
Selected(0)Clear Items/Page:    Sort:
Thermochemical non-equilibrium flow characteristics of high Mach number inlet in a wide operation range 期刊论文
CHINESE JOURNAL OF AERONAUTICS, 2023, 卷号: 36, 期号: 12, 页码: 164-184
Authors:  Dai, Chunliang;  Sun, Bo;  Yue LJ(岳连捷);  Zhou, Shengbing;  Zhuo, Changfei;  Zhou, Changsheng;  Yu, Jianyi
Adobe PDF(5674Kb)  |  Favorite  |  View/Download：51/7  |  Submit date：2024/02/19
Scramjet inlet  Starting ability  Thermochemical  Work performance  
Bayesian model averaging for probabilistic S-N curves with probability distribution model form uncertainty 期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2023, 卷号: 177, 页码: 11
Authors:  Zou, Qingrong;  Wen JC(温济慈)
Adobe PDF(4441Kb)  |  Favorite  |  View/Download：94/6  |  Submit date：2023/12/18
N curves  Fatigue design  Bayesian model averaging  Probability distribution model form  uncertainty  
Physical interpretation of neural network-based nonlinear eddy viscosity models 期刊论文
AEROSPACE SCIENCE AND TECHNOLOGY, 2023, 卷号: 142, 页码: 13
Authors:  Zhang XL(张鑫磊);  Xiao, Heng;  Jee, Solkeun;  He GW(何国威)
Adobe PDF(5699Kb)  |  Favorite  |  View/Download：60/3  |  Submit date：2023/11/28
Machine learning  Turbulence modeling  Ensemble Kalman inversion  Physical interpretability  
High-fidelity state-to-state modeling of hypersonic flow over a double cone 期刊论文
PHYSICS OF FLUIDS, 2023, 卷号: 35, 期号: 11, 页码: 10
Authors:  Wang XY(王小永);  Guo, Jinghui;  Hong QZ(洪启臻);  Li, Sijia
Adobe PDF(3376Kb)  |  Favorite  |  View/Download：67/9  |  Submit date：2023/12/18
DeepStSNet: Reconstructing the quantum state-resolved thermochemical nonequilibrium flowfield using deep neural operator learning with scarce data 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 卷号: 491, 页码: 112344
Authors:  Lv JQ(吕家琦);  Hong QZ(洪启臻);  Wang XY(王小永);  Mao, Zhiping;  Sun QH(孙泉华)
Adobe PDF(5558Kb)  |  Favorite  |  View/Download：75/2  |  Submit date：2023/09/26
Hypersonic  Thermochemical nonequilibrium  State-to-state approach  Deep learning  Multiphysics  Data assimilation  
Research on Prediction Model of Interlayer Leakage in Separate Injection Wells in Offshore Oilfields 会议论文
3rd International Conference on Fluid and Chemical Engineering, Wuhan, China, 20/07/2023 - 22/07/2023
Authors:  Gao,Yonghua;  Chen,Jie;  Liu,Lei;  Bao,Chenyi;  Liu,Huawei;  Li,Baolong;  Shi SY(史仕荧)
Adobe PDF(1012Kb)  |  Favorite  |  View/Download：124/27  |  Submit date：2023/11/28
Offshore oil field  layered mining  insert seal detection tool  experiment  model prediction  
Richtmyer-Meshkov instability of a single-mode heavy-light interface in cylindrical geometry 期刊论文
PHYSICS OF FLUIDS, 2023, 卷号: 35, 期号: 10, 页码: 10
Authors:  Li, Jiaxuan;  Wang, He;  Zhai, Zhigang;  Luo XS(罗喜胜)
Adobe PDF(2732Kb)  |  Favorite  |  View/Download：51/7  |  Submit date：2024/01/02
Explainability analysis of neural network-based turbulence modeling for transonic axial compressor rotor flows 期刊论文
AEROSPACE SCIENCE AND TECHNOLOGY, 2023, 卷号: 141, 页码: 108542
Authors:  Wu CT(吴楚畋);  Wang SZ(王士召);  Zhang XL(张鑫磊);  He GW(何国威)
Adobe PDF(3908Kb)  |  Favorite  |  View/Download：109/9  |  Submit date：2023/09/26
Explainability  Ensemble Kalman method  Turbulence model  Axial compressor rotor  Neural network  Machine learning  
Surface-Volume Scaling Controlled by Dissolution Regimes in a Multiphase Flow Environment 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2023, 卷号: 50, 期号: 18, 页码: 11
Authors:  Zhou, ChenXing;  Hu, Ran;  Deng, Hang;  Ling BW(凌博闻);  Yang, Zhibing;  Chen, YiFeng
Adobe PDF(1359Kb)  |  Favorite  |  View/Download：86/4  |  Submit date：2023/10/23
fluid-rock dissolution  dissolution regime  surface-volume scaling  multiphase flow  dissolution rate  
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：35/2  |  Submit date：2023/09/05
Computational fluid dynamics  Kinetic theory  Boltzmann equation  Multi-scale method  Deep learning