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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
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金属研究所 [73]
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A novel mooring system anomaly detection framework for SEMI based on improved residual network with attention mechanism and feature fusion
期刊论文
OAI收割
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2024, 卷号: 245, 页码: 21
作者:
Mao, Yixuan
;
Li, Xiaorong
;
Duan, Menglan
;
Feng, Yongcun
;
Wang, Jinjia
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2024/04/29
Mooring line anomaly detection
Residual network
Feature fusion
Semi-submersible platform
The failure behavior of syntactic foams as buoyancy materials for deepsea applications
期刊论文
OAI收割
EUROPEAN JOURNAL OF MECHANICS A-SOLIDS, 2024, 卷号: 105, 页码: 16
作者:
Gao Y(高洋)
;
Ying LP(应黎坪)
;
Fan ZY(樊振宇)
;
Wei YJ(魏宇杰)
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/04/29
Syntactic foam
Buoyancy material
Hydrostatic pressure
Deviatoric stress
Buckling
Interfacial delamination
Fatigue life prediction for LPBF-fabricated Ti-6Al-4V up to very-high-cycle regime based on continuum damage mechanics incorporating effect of defects
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF FATIGUE, 2024, 卷号: 181, 页码: 13
作者:
Ling, Chao
;
Jia, Yinfeng
;
Fu, Rui
;
Zheng, Liang
;
Zhong, Zheng
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/03/11
Fatigue life prediction
LPBF-fabricated Ti-6Al-4V
Continuum damage mechanics
Defect
Very-high-cycle fatigue
Dynamical Performance of Graphene Aerogel with Ductile and Brittle Characteristics
期刊论文
OAI收割
ADVANCED FUNCTIONAL MATERIALS, 2024, 页码: 11
作者:
Xiao KL(肖凯璐)
;
Zhang, Wei
;
Zhu, Mingquan
;
Yin QY(殷秋运)
;
Fortunelli, Alessandro
  |  
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/05/14
asymmetry expanded failure mode
dynamical performance
energy dissipation behavior
graphene aerogel
Tensile and Interfacial Mechanical Properties for Single Aramid III Fibers under Dynamic Loading
期刊论文
OAI收割
POLYMERS, 2024, 卷号: 16, 期号: 6, 页码: 12
作者:
Liu, Fu
;
Li, Fangfang
;
Li, Xuelei
;
Tian, Haobin
;
Lei XD(雷旭东)
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/05/14
Aramid III
single fiber
surface modification
dynamic mechanical property
IFSS
mini SHTB
failure morphology
PD-DEM hybrid modeling of leading edge erosion in wind turbine blades under controlled impact scenarios
期刊论文
OAI收割
COMPUTATIONAL PARTICLE MECHANICS, 2024, 页码: 19
作者:
Walayat, Khuram
;
Haeri, Sina
;
Iqbal, Imran
;
Zhang YH(张勇豪)
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/04/15
Peridynamics
Discrete element method
Wind turbine blades
Leading edge erosion
Solid particle erosion
Damage
Crack
Microstructure features induced by fatigue crack initiation up to very-high-cycle regime for an additively manufactured aluminium alloy
期刊论文
OAI收割
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY, 2024, 卷号: 173, 页码: 247-260
作者:
Pan, Xiangnan
;
Du, Leiming
;
Qian, Guian
;
Hong, Youshi
;
Hong YS(洪友士)
  |  
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2023/11/06
Aluminium alloy
Additive manufacturing
Nanograins
Very-high-cycle fatigue (VHCF)
Crack initiation
Mean stress
Effect of bias voltage on the erosion performance of TiAlSiN coatings on TC6 substrate by high power impulse magnetron sputtering
期刊论文
OAI收割
SURFACE & COATINGS TECHNOLOGY, 2024, 卷号: 477, 页码: 20
作者:
Li, Hua
;
Li, Liuhe
;
Wang, Xiaoting
;
Li GD(李国栋)
;
Li, Duoduo
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2024/02/26
Erosion
TiAlSiN
Bias voltage
HiPIMS
Failure mechanism
The impact of parents' implicit theories of intelligence on young children's approaches to learning: The serial-mediating roles of children's achievement motivations and goal orientations
期刊论文
OAI收割
CURRENT PSYCHOLOGY, 2024, 页码: 21
作者:
Zhu, Qiuke
;
Li, Su
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/03/08
Parents' implicit theories of intelligence
Children's approaches to learning
Achievement motivations
Goal orientations
Agent-correspondence effect
Serial-mediating model
Knowledge enhanced ensemble method for remaining useful life prediction under variable working conditions
期刊论文
OAI收割
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2024, 卷号: 242, 页码: 13
作者:
Li, Yuan
;
Li, Jingwei
;
Wang, Huanjie
;
Liu, Chengbao
;
Tan, Jie
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/02/22
Remaining useful life
Ensemble learning
Attention mechanism
Convolutional neural network
Transfer learning