Investigation on Thermal Conductivity of Soil Under Freeze–Thaw Action Based on Machine Learning Models

Investigation on Thermal Conductivity of Soil Under Freeze–Thaw Action Based on Machine Learning Models

Thermal conductivity is a crucial factor for the soil, which is significantly affected by environmental conditions. Based on the variation in the thermal conductivity and the influencing factors of silty clay obtained by the freeze–thaw cycle test, this paper adopted four machine learning models opt...

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Bibliographic Details
Main Authors: Yuwei Chen, Yadi Min, Haiqiang Jiang, Jing Luo, Mengxin Liu, Enliang Wang, Xingchao Liu, Ke Shi, Xiaoqi Li
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Buildings
Subjects:
freeze–thaw action
machine learning model
soil’s thermal conductivity
Monte Carlo simulation
cold regions
Online Access:https://www.mdpi.com/2075-5309/15/5/750
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