Thermo-mechanical behavior and thermal regulation measures of subgrade layer in roads under stochastic periodic thermal disturbance
7 affiliations
- 1Key Laboratory of Ministry of Education for Geomechanics and Embankment Engineering, Hohai University, Nanjing, China
- 2College of Civil and Transportation Engineering, Hohai University, Nanjing, China
- 3Institute of Transportation, Inner Mongolia University, Hohhot, China
- 4School of Ecology and Environment, Inner Mongolia University, Hohhot, China
- 5Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, China
- 6School of Civil Engineering, Ordos Institute of Technology, Ordos, China
- 7Guangxi Beitou Resources Co. Ltd., Nanning, China
Abstract
The characteristics of frost damage of highways under hydrothermal conditions are driven by large temperature differences, high soil moisture content, and disparities in both the temporal and spatial distribution of snow depth. The ground surface temperature (GST) model, which characterizes random dynamic variations in snow depth, was coupled with a thermal-hydro-mechanical model of frozen soil. Utilizing the coupled model, variations in GST and heat flux across six snow depth scenarios were computed, along with the evolution of the subgrade temperature field and pavement deformation. Furthermore, the response of the thermal state of the ground surface and the thermal behavior of the subgrade to fluctuations in four snow depth ranges were systematically examined, and the influence mechanism of snow on the subgrade thermal stability was revealed. In view of the preceding analysis, a comparison and evaluation were made of the regulatory effects of conventional and improved thermal regulation measures on the deformation characteristics of the subgrade top surface, under conditions of two extreme snow depths and four snow depth fluctuation ranges. This study provides direct guidance for the control of frost damage in snow-covered permafrost subgrades subjected to stochastic periodic thermal disturbances.
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BibTeX
@article{li2026thermomechanical,
title = {{Thermo-mechanical behavior and thermal regulation measures of subgrade layer in roads under stochastic periodic thermal disturbance}},
author = {Gaosheng Li and Xiangtian Xu and Yundong Zhou and Yuqin Zhao and Ruiqiang Bai and Weidong Zhang and Yusong Lin},
journal = {Communications Engineering},
year = {2026},
month = jul,
doi = {10.1038/s44172-026-00719-z},
url = {https://doi.org/10.1038/s44172-026-00719-z},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - Thermo-mechanical behavior and thermal regulation measures of subgrade layer in roads under stochastic periodic thermal disturbance
AU - Gaosheng Li
AU - Xiangtian Xu
AU - Yundong Zhou
AU - Yuqin Zhao
AU - Ruiqiang Bai
AU - Weidong Zhang
AU - Yusong Lin
PY - 2026
DA - 2026/07/03
JO - Communications Engineering
DO - 10.1038/s44172-026-00719-z
UR - https://doi.org/10.1038/s44172-026-00719-z
AB - The characteristics of frost damage of highways under hydrothermal conditions are driven by large temperature differences, high soil moisture content, and disparities in both the temporal and spatial distribution of snow depth. The ground surface temperature (GST) model, which characterizes random dynamic variations in snow depth, was coupled with a thermal-hydro-mechanical model of frozen soil. Utilizing the coupled model, variations in GST and heat flux across six snow depth scenarios were computed, along with the evolution of the subgrade temperature field and pavement deformation. Furthermore, the response of the thermal state of the ground surface and the thermal behavior of the subgrade to fluctuations in four snow depth ranges were systematically examined, and the influence mechanism of snow on the subgrade thermal stability was revealed. In view of the preceding analysis, a comparison and evaluation were made of the regulatory effects of conventional and improved thermal regulation measures on the deformation characteristics of the subgrade top surface, under conditions of two extreme snow depths and four snow depth fluctuation ranges. This study provides direct guidance for the control of frost damage in snow-covered permafrost subgrades subjected to stochastic periodic thermal disturbances.
SN - 2731-3395
ER -