Neural Network Aided Homogenization Approach for Predicting Effective Thermal Conductivity of Composite Construction Materials

Neural Network Aided Homogenization Approach for Predicting Effective Thermal Conductivity of Composite Construction Materials

Thermal conductivity is a fundamental material parameter involved in various infrastructure design guides around the world. This paper developed an innovative neural network (NN) aided homogenization approach for predicting the effective thermal conductivity of various composite construction materia...

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Bibliographic Details
Main Authors: Zhu Shi, Wenyao Peng, Chaoqun Xiang, Liang Li, Qibin Xie
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Materials
Subjects:
effective thermal conductivity
neural network
homogenization
asphalt mixture
cement concrete
Online Access:https://www.mdpi.com/1996-1944/16/9/3322

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