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期刊论文 [27]
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2022 [27]
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Micromechanics Modeling of Transverse Tensile Strength for Unidirectional CFRP Composite
期刊论文
MATERIALS, 2022, 卷号: 15, 期号: 23, 页码: 14
作者:
Liu, Liangbao
;
Zhang, Xiaohui
;
Wang, Zibiao
;
Wang, Yana
;
Guo, Jiangzhen
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  |  
浏览/下载:15/0
  |  
提交时间:2023/01/12
unidirectional fiber-reinforced composites
transverse strength prediction
micromechanics modeling
stress concentration factor
stress field in matrix
Machine-learning-based monitoring and optimization of processing parameters in 3D printing
期刊论文
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2022, 页码: 17
作者:
Tamir, Tariku Sinshaw
;
Xiong, Gang
;
Fang, Qihang
;
Yang, Yong
;
Shen, Zhen
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  |  
浏览/下载:21/0
  |  
提交时间:2023/01/09
Additive manufacturing
closed-loop
3D printing
digital manufacturing
machine learning
processing parameters
Damage mechanism and fatigue strength prediction of compacted graphite iron with different microstructures
期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2022, 卷号: 164, 页码: 14
作者:
Chen, Y.
;
Pang, J. C.
;
Li, S. X.
;
Zou, C. L.
;
Zhang, Z. F.
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  |  
浏览/下载:56/0
  |  
提交时间:2022/09/16
Compacted graphite iron
Pearlite content
Fatigue strength
Damage mechanism
Mechanical behavior of woven CMCs under non-uniform stress and strain fields
期刊论文
COMPOSITE STRUCTURES, 2022, 卷号: 299, 页码: 10
作者:
Yang ZM(杨正茂)
;
Sun, Jing-Yu
;
Yang, Jun-Jie
;
Liu, Tian-Wei
;
Liu, Hui
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  |  
浏览/下载:21/0
  |  
提交时间:2022/09/27
Ceramic-matrix composites (CMCs)
Non-uniform strain
Finite element analysis
Mechanical properties
Weave architecture
HeDAN: Heterogeneous diffusion attention network for popularity prediction of online content
期刊论文
KNOWLEDGE-BASED SYSTEMS, 2022, 卷号: 254, 页码: 13
作者:
Jia, Xueqi
;
Shang, Jiaxing
;
Liu, Dajiang
;
Zhang, Haidong
;
Ni, Wancheng
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  |  
浏览/下载:19/0
  |  
提交时间:2022/11/14
Information popularity prediction
Graph neural network
Hierarchical attention
Social network analysis
Predictive factors
Method to predict the interlayer shear strength of asphalt pavement based on improved back propagation neural network
期刊论文
CONSTRUCTION AND BUILDING MATERIALS, 2022, 卷号: 351
作者:
Nian, Tengfei
;
Li, Jinggao
;
Li, Ping
;
Liu, Zongcheng
;
Guo, Rui
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  |  
浏览/下载:30/0
  |  
提交时间:2022/09/22
Road engineering
Asphalt mixture
Interlayer shear strength
BP neural network
Prediction method
Multiaxial fatigue life prediction model considering stress gradient and size effect
期刊论文
International Journal of Pressure Vessels and Piping, 2022, 卷号: 199
作者:
Zhao, He
;
Liu, Jianhui
;
Hua, Feilong
;
Ran, Yong
;
Zi, Rong
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  |  
浏览/下载:17/0
  |  
提交时间:2022/06/20
Forecasting
Size determination
Stress concentration
Critical plane method
Energy
Energy-critical plane method
Fatigue life prediction models
Life predictions
Multi-axial fatigue
Multiaxial fatigue life
Sizes effect
Stress gradient
Stress gradient effects
Stochastic higher-order three-scale strength prediction model for composite structures with micromechanical analysis
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 卷号: 465, 页码: 30
作者:
Dong, Hao
;
Yang, Zihao
;
Guan, Xiaofei
;
Cui, Junzhi
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  |  
浏览/下载:10/0
  |  
提交时间:2023/02/07
Composite structures
Multiscale random configurations
SHTSP model
Multilevel strategy
Strength prediction
Low-cycle multiaxial random fatigue life prediction model based on equivalent stress transformation
期刊论文
International Journal of Structural Integrity, 2022, 卷号: 13, 期号: 5, 页码: 870-882
作者:
He, Yingbao
;
Liu, Jianhui
;
Hua, Feilong
;
Zhao, He
;
Wang, Jie
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  |  
浏览/下载:16/0
  |  
提交时间:2022/09/22
Fatigue testing
Stress analysis
Titanium alloys
Additional strengthening effect
Critical plane method
Equivalent stress
Equivalent stress transformation method
Mean stress effects
Multiaxial
Multiaxial random fatigue
Random fatigue
Strengthening effect
Stress transformation
Transformation methods
A novel model for fatigue strength prediction based on the true stress-strain curves
期刊论文
FERROELECTRICS, 2022, 卷号: 596, 期号: 1, 页码: 137-151
作者:
Duan, Hongyan
;
Pei, Lei
;
Sheng, Jie
;
Tang, Guoxin
;
Liu, Lin
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  |  
浏览/下载:21/0
  |  
提交时间:2022/09/22
Fatigue strength prediction
different strength levels
tensile strength
austenitic 304 stainless steel
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