Accurately Predicting Quartz Sand Thermal Conductivity Using Machine Learning and Grey-Box AI Models

Accurately Predicting Quartz Sand Thermal Conductivity Using Machine Learning and Grey-Box AI Models

The thermal conductivity of materials is a crucial property with diverse applications, particularly in engineering. Understanding soil thermal conductivity is crucial for designing efficient geothermal systems, predicting soil temperatures, and assessing soil contamination. This paper aimed to predi...

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Bibliographic Details
Main Authors: Abolfazl Baghbani, Hossam Abuel-Naga, Danial Shirkavand
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Geotechnics
Subjects:
soil thermal conductivity
artificial intelligence
grey-box model
sensitivity analysis
genetic programming
Online Access:https://www.mdpi.com/2673-7094/3/3/35

Internet

https://www.mdpi.com/2673-7094/3/3/35

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