A mathematic model for the soil freezing characteristic curve: the roles of adsorption and capillarity

Teng, J; Zhong, Y; Zhang, S; Sheng, D

A mathematic model for the soil freezing characteristic curve: the roles of adsorption and capillarity

Teng, J Zhong, Y Zhang, S Sheng, D

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Publisher:: ELSEVIER
Publication Type:: Journal Article
Citation:: Cold Regions Science and Technology, 2021, 181
Issue Date:: 2021-01-01

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Field	Value	Language
dc.contributor.author	Teng, J
dc.contributor.author	Zhong, Y
dc.contributor.author	Zhang, S
dc.contributor.author	Sheng, D https://orcid.org/0000-0002-1665-6931
dc.date.accessioned	2022-02-23T08:07:55Z
dc.date.available	2022-02-23T08:07:55Z
dc.date.issued	2021-01-01
dc.identifier.citation	Cold Regions Science and Technology, 2021, 181
dc.identifier.issn	0165-232X
dc.identifier.issn	1872-7441
dc.identifier.uri	http://hdl.handle.net/10453/154805
dc.description.abstract	The relationship between the unfrozen water content in frozen soil and negative temperature is defined as the soil freezing characteristic curve (SFCC). The SFCC plays a crucial role in understanding the hydrothermal migration, frost heaving and constitutive relations of frozen soil. The mechanism of the SFCC is less understood, especially in the low-temperature range. Considering the adsorption and capillary action between soil particles and the ice interface, a new SFCC model for saturated frozen soil is proposed from the pore scale. The predicted results of the model show that the unfrozen water content gradually decreases with the increasing particle radius at the same temperature. The SFCC of monodisperse silica microspheres and quartz sand samples were tested based on nuclear magnetic resonance technology. The experimental results were compared with the mathematical model, which showed that the new SFCC model is in good agreement with the experimental results. The new model has a clear physical meaning and can provide a theoretical basis for understanding the phase change process in frozen soils, which is of great significance to the application of the proposed model.
dc.language	English
dc.publisher	ELSEVIER
dc.relation	National Natural Science Foundation of ChinaU1834206
dc.relation.ispartof	Cold Regions Science and Technology
dc.relation.isbasedon	10.1016/j.coldregions.2020.103178
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0904 Chemical Engineering, 0905 Civil Engineering, 0911 Maritime Engineering
dc.subject.classification	Meteorology & Atmospheric Sciences
dc.title	A mathematic model for the soil freezing characteristic curve: the roles of adsorption and capillarity
dc.type	Journal Article
utslib.citation.volume	181
utslib.for	0904 Chemical Engineering
utslib.for	0905 Civil Engineering
utslib.for	0911 Maritime Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2022-02-23T08:07:51Z
pubs.publication-status	Published
pubs.volume	181

Abstract:

The relationship between the unfrozen water content in frozen soil and negative temperature is defined as the soil freezing characteristic curve (SFCC). The SFCC plays a crucial role in understanding the hydrothermal migration, frost heaving and constitutive relations of frozen soil. The mechanism of the SFCC is less understood, especially in the low-temperature range. Considering the adsorption and capillary action between soil particles and the ice interface, a new SFCC model for saturated frozen soil is proposed from the pore scale. The predicted results of the model show that the unfrozen water content gradually decreases with the increasing particle radius at the same temperature. The SFCC of monodisperse silica microspheres and quartz sand samples were tested based on nuclear magnetic resonance technology. The experimental results were compared with the mathematical model, which showed that the new SFCC model is in good agreement with the experimental results. The new model has a clear physical meaning and can provide a theoretical basis for understanding the phase change process in frozen soils, which is of great significance to the application of the proposed model.

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http://hdl.handle.net/10453/154805