Technical Papers
Jun 28, 2021

Soil Sorptive Potential–Based Paradigm for Soil Freezing Curves

Publication: Journal of Geotechnical and Geoenvironmental Engineering
Volume 147, Issue 9

Abstract

The soil freezing curve (SFC) is a fundamental constitutive relationship between liquid water content and temperature under subzero (0°C or 273.15 K) conditions. SFC governs mechanical and hydrologic behavior of soil in freezing and thawing environments. The state-of-the-art SFC paradigms have been established empirically based on the capillary pressure-based Clapeyron equation. Two practical challenges prevent the rigorous use of the capillary pressure-based Clapeyron equation for realistic prediction of the SFC: (1) unable to use the governing pressure (intermolecular water pressure) for defining water phase change; and (2) unable to account for variations in latent heat of fusion and water density. A new paradigm based on soil sorptive potential (SSP) to predict the SFC from the soil water retention curve is developed, directly using the intermolecular water pressure distribution and pure water phase diagram in lieu of capillary pressure and the Clapeyron equation. The latest theory of SSP is used to quantify intermolecular water pressure distribution. Experimental validation demonstrates that the proposed paradigm yields excellent matches to the experimental SFC data for different soil types, and is a significant improvement over the predictions by the capillary pressure-based Clapeyron equation paradigm. The proposed paradigm reveals that the SFCs for various soils below 273.15 K (0°C) are mostly dominated by adsorptive water. Furthermore, the proposed paradigm can fully explain the practically encountered phenomenon that the SFC for soils with high clay content depends on the initial water content, whereas it does not for sandy soils. Practical significance of the new paradigm in geotechnical engineering problems is demonstrated through predicting soil moisture profiles under freezing and thawing, and permafrost environments.

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Data Availability Statement

All data, models, and code generated or used during the study are available from the corresponding author upon reasonable request.

Acknowledgments

This research was sponsored by National Key R&D Program of China Grant (2019YFB1705201, 2019YFC1904704) and the US National Science Foundation Grants (NSF CMMI-1902045).

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Journal of Geotechnical and Geoenvironmental Engineering
Volume 147Issue 9September 2021

History

Received: Aug 18, 2020
Accepted: Apr 23, 2021
Published online: Jun 28, 2021
Published in print: Sep 1, 2021
Discussion open until: Nov 28, 2021

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Professor, Ministry of Education Key Laboratory of Building Safety and Energy Efficiency, College of Civil Engineering, Hunan Univ., Changsha 410082, China (corresponding author). ORCID: https://orcid.org/0000-0002-6675-3940. Email: [email protected]
Ning Lu, F.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering, Colorado School of Mines, 1012 14th St., Golden, CO 80401. Email: [email protected]

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