Predicting the effective thermal conductivities of composite materials and porous media by machine learning methods

2018 ◽  
Vol 127 ◽  
pp. 908-916 ◽  
Author(s):  
Han Wei ◽  
Shuaishuai Zhao ◽  
Qingyuan Rong ◽  
Hua Bao
Keyword(s):  
Machine Learning ◽  
Porous Media ◽  
Composite Materials ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
Thermal Conductivities

scholarly journals SIMULATION OF THE DEGRADATION PROCESSES OF MECHANICAL PROPERTIES, STRENGTH AND FRACTURE OF COMPOSITE MATERIALS

2020 ◽  
Author(s):  
Yulia Mochalova ◽  
Karine Abgaryan
Keyword(s):  
Machine Learning ◽  
Mechanical Properties ◽  
Composite Materials ◽  
Multiscale Modeling ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
Degradation Processes

The work is aimed at modeling strength and predicting degradation processes of mechanical properties of composite materials using multiscale modeling and machine learning methods.

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