Predicting the effective thermal conductivity of geo-materials using artificial neural networks
Soil thermal conductivity is an important thermal property used in heat transfer modelling and geo-energy applications. Because of its complex nature and depending on several factors such as porosity, moister content, structure, etc., it is always challenging to predict the thermal conductivity of g...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2020-01-01
|
| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/65/e3sconf_icegt2020_04001.pdf |