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| Understanding of temperature and cooling effectiveness sensitivity of a film-cooled vane under coolant inlet temperature effect: A case study 期刊论文
CASE STUDIES IN THERMAL ENGINEERING, 2019, 卷号: 14, 页码: UNSP 100505
Authors: Prapamonthon P; Yin B(银波) ; Yang GW(杨国伟); Zhang MH
 View |  Adobe PDF(3342Kb) |  Favorite | View/Download：274/84 | Submit date：2020/03/21
TURBINE BLADE HEAT-TRANSFER |
| A comparative study of the nanopore structure characteristics of coals and Longmaxi shales in China 期刊论文
ENERGY SCIENCE & ENGINEERING, 2019, 页码: 14
Authors: Zhou SW; Liu HL; Chen H; Wang HY; Guo W; Liu DX; Zhang Q; Wu J; Shen WJ (沈伟军)
 Adobe PDF(991Kb) | Favorite | View/Download：722/223 | Submit date：2019/09/09
adsorption capacity CBM nanopore structure SEM shale gas specific surface area |
| A novel CACOR-SVR multi-objective optimization approach and its application in aerodynamic shape optimization of high-speed train 期刊论文
SOFT COMPUTING, 2019, 卷号: 23, 期号: 13, 页码: 5035-5051
Authors: Zhang Y; Guo DL(郭迪龙); Sun ZX(孙振旭); Chen DW
Adobe PDF(2843Kb) | Favorite | View/Download：429/104 | Submit date：2019/09/09
Chaos ant colony optimization Support vector machine Multi-objective optimization Vehicle modeling function High-speed trains |
| Rejuvenation, embryonic shear bands and improved tensile plasticity of metallic glasses by nanosecond laser shock wave 期刊论文
JOURNAL OF NON-CRYSTALLINE SOLIDS, 2019, 卷号: 513, 页码: 76-83
Authors: Li YS(李炎森); Wei YP(魏延鹏); Zhang K(张坤); Zhang YT(张亚婷); Wang Y(王洋); Tang WQ(唐玮琪); Wei BC(魏炳忱)
Adobe PDF(2516Kb) | Favorite | View/Download：390/130 | Submit date：2019/09/09
Metallic glass Laser shock wave Rejuvenation Shear bands Tensile plasticity |
| Effects of Bogies on the Wake Flow of a High-Speed Train 期刊论文
APPLIED SCIENCES-BASEL, 2019, 卷号: 9, 期号: 4, 页码: AR759
Authors: Liu W(刘雯); Guo DL(郭迪龙); Zhang ZJ; Chen DW; Yang GW(杨国伟)
Adobe PDF(30782Kb) | Favorite | View/Download：487/55 | Submit date：2019/04/11
high-speed train unsteady wake bogie DMD vortex dynamics |
| Application of deep learning method to Reynolds stress models of channel flow based on reduced-order modeling of DNS data 期刊论文
JOURNAL OF HYDRODYNAMICS, 2019, 卷号: 31, 期号: 1, 页码: 58-65
Authors: Zhang Z(张珍); Song XD; Ye SR; Wang YW(王一伟); Huang CG(黄晨光); An YR; Chen YS
Adobe PDF(1492Kb) | Favorite | View/Download：406/170 | Submit date：2019/04/11
Deep neural network channel flow turbulence model Reynolds stress |
