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单向增强玻璃钢复合材料静/动态拉伸实验研究 期刊论文
爆炸与冲击, 2019, 卷号: 39, 期号: 09, 页码: 52-62
作者:  刘子尚;  杨喆;  魏延鹏;  蔡军爽;  赵士忠;  黄晨光
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动态失效应变  数字图像相关技术  应变率效应  刚度  
Numerical study of the pressure wave-induced shedding mechanism in the cavitating flow around an axisymmetric projectile via a compressible multiphase solver 期刊论文
OCEAN ENGINEERING, 2019, 卷号: 187, 页码: 9
作者:  Ye BS(叶秉晟);  Wang YW(王一伟);  Huang CG(黄晨光);  Huang J(黄荐)
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Cavitation  Compressibility  Shedding mechanism  OpenFOAM (R)  
Multi-objective optimization of the flush-type intake duct for a waterjet propulsion system 期刊论文
OCEAN ENGINEERING, 2019, 卷号: 187, 页码: 14
作者:  Huang RF(黄仁芳);  Dai YX;  Luo XW;  Wang YW(王一伟);  Huang CG(黄晨光)
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Intake duct  Waterjet propulsion  Multi-objective optimization  
Impact and usage of the shear thickening fluid (STF) material in damping vibration of bolted flange joints 期刊论文
SMART MATERIALS AND STRUCTURES, 2019, 卷号: 28, 期号: 9, 页码: 10
作者:  Guo YC(郭雅悰);  Wei YP(魏延鹏);  Zou JL(邹金龙);  Huang CG(黄晨光);  Wu XQ(吴先前);  Liu ZS(刘子尚);  Yang Z(杨哲)
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shear thickening fluid  bolted flange joints  energy dissipation  vibration suppression  
Experimental investigation on laser ablation of C/SiC composites subjected to supersonic airflow 期刊论文
OPTICS AND LASER TECHNOLOGY, 2019, 卷号: 113, 页码: 399-406
作者:  Wang JT(王江涛);  Ma YZ;  Liu YW;  Yuan W(袁武);  Song HW(宋宏伟);  Huang CG(黄晨光);  Yin XW
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Laser ablation  Supersonic airflow  C/SiC composite  Mechanical erosion  
Temperature-dependent phase transformation of ice-1h under ultrafast uniaxial compression: A molecular dynamics simulation 期刊论文
COMPUTATIONAL MATERIALS SCIENCE, 2019, 卷号: 162, 页码: 340-348
作者:  Yin QY(殷秋运);  Hu LL;  Wu XQ(吴先前);  Xiao KL(肖凯璐);  Huang CG(黄晨光)
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Ice  Phase transformation  Dynamic behaviour  Molecular dynamics  
Numerical simulation of bubble detachment at submerged orifice and analysis of interface stability 期刊论文
JOURNAL OF HYDRODYNAMICS, 2019, 卷号: 31, 期号: 2, 页码: 293-302
作者:  Yu XX(于娴娴);  Wang YW(王一伟);  Huang CG(黄晨光);  Du TZ(杜特专)
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Bubble interfacial dynamics  large eddy simulation  instability criterion  Rayleigh-Plesset equation  
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
作者:  Zhang Z(张珍);  Song XD;  Ye SR;  Wang YW(王一伟);  Huang CG(黄晨光);  An YR;  Chen YS
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Deep neural network  channel flow  turbulence model  Reynolds stress