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https://doi.org/10.5194/egusphere-2026-4674
https://doi.org/10.5194/egusphere-2026-4674
07 Aug 2026
 | 07 Aug 2026
Status: this preprint is open for discussion.

Multiphysics modeling of soil freezing and thawing processes: synthesis, validation, and outlook for soil-system science

Lisa Satylkanov and Dinan Nagayama

Abstract. Freezing and thawing transform soils through tightly coupled transfers of heat, water, vapor, solutes, and mechanical stress. These processes regulate frost heave, thaw settlement, infiltration, runoff generation, groundwater recharge, salinity redistribution, and the stability of cold-region infrastructure. Multiphysics models have advanced from empirical frost indices and thermal-hydraulic formulations to thermo-hydro-mechanical (THM) and thermo-hydro-mechanical-chemical (THMC) frameworks that represent phase change, cryosuction, unsaturated flow, vapor transport, ice segregation, poromechanical deformation, and damage. This review synthesizes freezing-soil modeling as a soil-system problem rather than only an engineering-design problem. We first organize the controlling mechanisms, including soil-freezing characteristic curves, soil-water retention behavior, generalized Clapeyron relations, frozen-fringe dynamics, ice-induced permeability reduction, and freeze-thaw damage. We then compare model families, primary variables, constitutive closures, numerical strategies, and validation requirements. Particular emphasis is placed on the gap between model complexity and data availability: temperature-only calibration can reproduce frost depth while failing to constrain water redistribution, deformation, and stress. We therefore argue that defensible THM/THMC modeling requires multi-observable calibration, conservation checks, out-of-sample validation, and explicit uncertainty propagation. The review concludes with a practical model-selection and reporting framework for soil scientists, hydrologists, and cold-region engineers. Priority needs include transferable closures for permeability and unfrozen water, shared benchmark datasets, uncertainty-aware inference, and hybrid continuum-discrete descriptions of ice lenses, interfaces, and damage.

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Lisa Satylkanov and Dinan Nagayama

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  • CC1: 'Comment on egusphere-2026-4674', Bo Gao, 13 Aug 2026 reply
Lisa Satylkanov and Dinan Nagayama
Lisa Satylkanov and Dinan Nagayama

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Short summary
Freezing and thawing affect how soils store water, transmit heat, move salts and contaminants, and deform. This review explains how coupled models can represent these processes, why predictions remain uncertain, and what observations are needed to make freezing-soil models useful for hydrology, permafrost, infrastructure, and environmental applications.
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