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Damage identification of low-density material-filled sandwich panels with truss core based on vibration properties 期刊论文
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2019, 卷号: 18, 期号: 5-6, 页码: 1711-1721
作者:  Le J(乐杰);  Lu LL(路玲玲);  Wang YB(王亚博);  Song HW(宋宏伟);  Xing XD;  Huang CG(黄晨光)
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Filled sandwich panels with truss core  damage identification  Teager energy operator  flexibility matrix  filler's influence  
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  
Dynamic experimental studies of A6N01S-T5 aluminum alloy material and structure for high-speed trains 期刊论文
ACTA MECHANICA SINICA, 2019, 卷号: 35, 期号: 4, 页码: 763-772
作者:  Liu ZS(刘子尚);  Yu YY;  Yang Z(杨哲);  Wei YP(魏延鹏);  Cai JS;  Li MH;  Huang CG(黄晨光)
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Dynamic failure strain  Constitutive model  Dynamic mechanical properties  
Deformation behavior of non-rigid airships in wind tunnel tests 期刊论文
CHINESE JOURNAL OF AERONAUTICS, 2019, 卷号: 32, 期号: 3, 页码: 611-618
作者:  Lu LL(路玲玲);  Song HW(宋宏伟);  Wang YW(王一伟);  Huang CG(黄晨光)
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Angle of attack  Fiber Bragg grating sensor  Flow velocity  Internal pressure  Non-rigid airship  Wind tunnel test  
Damage detection of sandwich panels with truss core based on time domain dynamic responses 期刊论文
COMPOSITE STRUCTURES, 2019, 卷号: 211, 页码: 443-454
作者:  Lu LL(路玲玲);  Le J(乐杰);  Song HW(宋宏伟);  Wang YB(王亚博);  Huang CG(黄晨光)
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Sandwich panel with truss core  Damage identification  Dimensionless time domain dynamic response  Teager energy operator  Poincare map  
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