A predictive model of unfrozen water content including the influence of pressure
Abstract Unfrozen water content has strong control on the permeability, strength and thermal properties of frozen soil. Several techniques have been used to measure unfrozen water content in frozen soil and many models have been developed for its prediction. However, there has been little investigat...
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crwiley:10.1002/ppp.2037 2024-06-02T08:13:10+00:00 A predictive model of unfrozen water content including the influence of pressure Ming, Feng Li, Dong‐qing Liu, Yu‐hang National Natural Science Foundation of China 2020 http://dx.doi.org/10.1002/ppp.2037 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fppp.2037 https://onlinelibrary.wiley.com/doi/pdf/10.1002/ppp.2037 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/ppp.2037 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Permafrost and Periglacial Processes volume 31, issue 1, page 213-222 ISSN 1045-6740 1099-1530 journal-article 2020 crwiley https://doi.org/10.1002/ppp.2037 2024-05-03T11:34:24Z Abstract Unfrozen water content has strong control on the permeability, strength and thermal properties of frozen soil. Several techniques have been used to measure unfrozen water content in frozen soil and many models have been developed for its prediction. However, there has been little investigation on the quantitative analysis of the relationship between pressure and unfrozen water content. With the development of artificial ground freezing techniques and deep mining, knowledge of unfrozen water content in frozen soil under high pressure is critical to the stability of the frozen structures. Here, a new predictive model is presented based on the relationship between chemical potential and unfrozen water content and a previous empirical formula. The simulation results are in good agreement with those from laboratory tests. Both the theoretical analysis and the test results indicated that: (a) the pressure applied to frozen soil reduces the freezing point of bulk water and delays the phase change, and (b) unfrozen water content increases with increasing pressure, and at higher pressures the change is greater. The results improve our understanding of the physical and mechanical properties of freezing soil under pressure for artificial ground freezing applications and deep mining engineering. Article in Journal/Newspaper Permafrost and Periglacial Processes Wiley Online Library Permafrost and Periglacial Processes 31 1 213 222 |
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English |
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Abstract Unfrozen water content has strong control on the permeability, strength and thermal properties of frozen soil. Several techniques have been used to measure unfrozen water content in frozen soil and many models have been developed for its prediction. However, there has been little investigation on the quantitative analysis of the relationship between pressure and unfrozen water content. With the development of artificial ground freezing techniques and deep mining, knowledge of unfrozen water content in frozen soil under high pressure is critical to the stability of the frozen structures. Here, a new predictive model is presented based on the relationship between chemical potential and unfrozen water content and a previous empirical formula. The simulation results are in good agreement with those from laboratory tests. Both the theoretical analysis and the test results indicated that: (a) the pressure applied to frozen soil reduces the freezing point of bulk water and delays the phase change, and (b) unfrozen water content increases with increasing pressure, and at higher pressures the change is greater. The results improve our understanding of the physical and mechanical properties of freezing soil under pressure for artificial ground freezing applications and deep mining engineering. |
author2 |
National Natural Science Foundation of China |
format |
Article in Journal/Newspaper |
author |
Ming, Feng Li, Dong‐qing Liu, Yu‐hang |
spellingShingle |
Ming, Feng Li, Dong‐qing Liu, Yu‐hang A predictive model of unfrozen water content including the influence of pressure |
author_facet |
Ming, Feng Li, Dong‐qing Liu, Yu‐hang |
author_sort |
Ming, Feng |
title |
A predictive model of unfrozen water content including the influence of pressure |
title_short |
A predictive model of unfrozen water content including the influence of pressure |
title_full |
A predictive model of unfrozen water content including the influence of pressure |
title_fullStr |
A predictive model of unfrozen water content including the influence of pressure |
title_full_unstemmed |
A predictive model of unfrozen water content including the influence of pressure |
title_sort |
predictive model of unfrozen water content including the influence of pressure |
publisher |
Wiley |
publishDate |
2020 |
url |
http://dx.doi.org/10.1002/ppp.2037 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fppp.2037 https://onlinelibrary.wiley.com/doi/pdf/10.1002/ppp.2037 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/ppp.2037 |
genre |
Permafrost and Periglacial Processes |
genre_facet |
Permafrost and Periglacial Processes |
op_source |
Permafrost and Periglacial Processes volume 31, issue 1, page 213-222 ISSN 1045-6740 1099-1530 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1002/ppp.2037 |
container_title |
Permafrost and Periglacial Processes |
container_volume |
31 |
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1 |
container_start_page |
213 |
op_container_end_page |
222 |
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1800736557732200448 |