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中国科学院力学研究所机构知识库
Knowledge Management System of Institue of Mechanics, CAS
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Key Labora... [5]
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黄晨光 [5]
刘子尚 [2]
杨哲 [2]
王一伟 [2]
魏延鹏 [2]
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Indexed By:SCI
Creator:黄晨光
First author
Date Issued:2019
Document Type:期刊论文
Community:流固耦合系统力学重点实验室
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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
Authors:
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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Adobe PDF(2112Kb)
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View/Download:466/106
  |  
Submit date:2019/09/09
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
Authors:
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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  |  
Adobe PDF(2832Kb)
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  |  
Submit date:2019/10/14
Dynamic failure strain
Constitutive model
Dynamic mechanical properties
A theoretical model to estimate inactivation effects of OH radicals on marine Vibrio sp. in bubble-shock interaction
期刊论文
ULTRASONICS SONOCHEMISTRY, 2019, 卷号: 55, 页码: 359-368
Authors:
Huang Y
;
Wang JZ(王静竹)
;
Abe A
;
Wang YW(王一伟)
;
Du TZ(杜特专)
;
Huang CG(黄晨光)
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Adobe PDF(2175Kb)
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View/Download:295/85
  |  
Submit date:2019/09/09
Theoretical model
Bubble-shock interaction
Chemical inactivation
Biological probability model
Generation and diffusion of OH radicals
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
Authors:
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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Adobe PDF(4242Kb)
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View/Download:335/97
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Submit date:2019/01/09
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
Authors:
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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View/Download:393/165
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Submit date:2019/04/11
Deep neural network
channel flow
turbulence model
Reynolds stress