Analytical model to predict unfrozen water content based on the probability of ice formation in soils

Abstract The variation in unfrozen water content with temperature substantially affects coupled heat and water transport in frozen soil, causing frost heave and thaw settlement owing to the ice and water phase change and influencing soil stability in cold regions. Thus, analyzing the mechanism of wa...

Full description

Bibliographic Details
Published in:Permafrost and Periglacial Processes
Main Authors: Wan, Xusheng, Pei, Wansheng, Lu, Jianguo, Qiu, Enxi, Yan, Zhongrui, Pirhadi, Nima, Zhu, Jishuai
Other Authors: Natural Science Foundation of Sichuan Province, Sichuan Province Science and Technology Support Program, National Natural Science Foundation of China, Youth Innovation Promotion Association of the Chinese Academy of Sciences
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2022
Subjects:
Online Access:http://dx.doi.org/10.1002/ppp.2167
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ppp.2167
https://onlinelibrary.wiley.com/doi/full-xml/10.1002/ppp.2167
id crwiley:10.1002/ppp.2167
record_format openpolar
spelling crwiley:10.1002/ppp.2167 2024-06-02T08:13:10+00:00 Analytical model to predict unfrozen water content based on the probability of ice formation in soils Wan, Xusheng Pei, Wansheng Lu, Jianguo Qiu, Enxi Yan, Zhongrui Pirhadi, Nima Zhu, Jishuai Natural Science Foundation of Sichuan Province Sichuan Province Science and Technology Support Program National Natural Science Foundation of China Youth Innovation Promotion Association of the Chinese Academy of Sciences 2022 http://dx.doi.org/10.1002/ppp.2167 https://onlinelibrary.wiley.com/doi/pdf/10.1002/ppp.2167 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/ppp.2167 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Permafrost and Periglacial Processes volume 33, issue 4, page 436-451 ISSN 1045-6740 1099-1530 journal-article 2022 crwiley https://doi.org/10.1002/ppp.2167 2024-05-03T11:22:16Z Abstract The variation in unfrozen water content with temperature substantially affects coupled heat and water transport in frozen soil, causing frost heave and thaw settlement owing to the ice and water phase change and influencing soil stability in cold regions. Thus, analyzing the mechanism of water freezing and building a predictive model for the unfrozen water content of soils is paramount. In this study, an analytical model based on equivalent contact angle was developed to predict the unfrozen water content. The relationship between the equivalent contact angle and temperature was obtained based on the assumption that the heterogeneous nucleation rate nonlinearly decreased with temperature. The proposed analytical model was validated using existing unfrozen water content data at various temperatures for a silty clay soil material from the Qinghai–Tibet Plateau, and compared to several existing numerical models which predict unfrozen water content in soil materials. The results revealed a close relationship between the unfrozen water content and equivalent contact angle, and the equivalent contact angle increased as the temperature decreased. Meanwhile, the pore water in the soil first froze when the contact angle was smaller. Moreover, the values predicted by the analytical model for the unfrozen water content agreed well with the experimental results, especially under low‐temperature conditions and during the early stage of water freezing. Article in Journal/Newspaper Permafrost and Periglacial Processes Wiley Online Library Permafrost and Periglacial Processes 33 4 436 451
institution Open Polar
collection Wiley Online Library
op_collection_id crwiley
language English
description Abstract The variation in unfrozen water content with temperature substantially affects coupled heat and water transport in frozen soil, causing frost heave and thaw settlement owing to the ice and water phase change and influencing soil stability in cold regions. Thus, analyzing the mechanism of water freezing and building a predictive model for the unfrozen water content of soils is paramount. In this study, an analytical model based on equivalent contact angle was developed to predict the unfrozen water content. The relationship between the equivalent contact angle and temperature was obtained based on the assumption that the heterogeneous nucleation rate nonlinearly decreased with temperature. The proposed analytical model was validated using existing unfrozen water content data at various temperatures for a silty clay soil material from the Qinghai–Tibet Plateau, and compared to several existing numerical models which predict unfrozen water content in soil materials. The results revealed a close relationship between the unfrozen water content and equivalent contact angle, and the equivalent contact angle increased as the temperature decreased. Meanwhile, the pore water in the soil first froze when the contact angle was smaller. Moreover, the values predicted by the analytical model for the unfrozen water content agreed well with the experimental results, especially under low‐temperature conditions and during the early stage of water freezing.
author2 Natural Science Foundation of Sichuan Province
Sichuan Province Science and Technology Support Program
National Natural Science Foundation of China
Youth Innovation Promotion Association of the Chinese Academy of Sciences
format Article in Journal/Newspaper
author Wan, Xusheng
Pei, Wansheng
Lu, Jianguo
Qiu, Enxi
Yan, Zhongrui
Pirhadi, Nima
Zhu, Jishuai
spellingShingle Wan, Xusheng
Pei, Wansheng
Lu, Jianguo
Qiu, Enxi
Yan, Zhongrui
Pirhadi, Nima
Zhu, Jishuai
Analytical model to predict unfrozen water content based on the probability of ice formation in soils
author_facet Wan, Xusheng
Pei, Wansheng
Lu, Jianguo
Qiu, Enxi
Yan, Zhongrui
Pirhadi, Nima
Zhu, Jishuai
author_sort Wan, Xusheng
title Analytical model to predict unfrozen water content based on the probability of ice formation in soils
title_short Analytical model to predict unfrozen water content based on the probability of ice formation in soils
title_full Analytical model to predict unfrozen water content based on the probability of ice formation in soils
title_fullStr Analytical model to predict unfrozen water content based on the probability of ice formation in soils
title_full_unstemmed Analytical model to predict unfrozen water content based on the probability of ice formation in soils
title_sort analytical model to predict unfrozen water content based on the probability of ice formation in soils
publisher Wiley
publishDate 2022
url http://dx.doi.org/10.1002/ppp.2167
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ppp.2167
https://onlinelibrary.wiley.com/doi/full-xml/10.1002/ppp.2167
genre Permafrost and Periglacial Processes
genre_facet Permafrost and Periglacial Processes
op_source Permafrost and Periglacial Processes
volume 33, issue 4, page 436-451
ISSN 1045-6740 1099-1530
op_rights http://onlinelibrary.wiley.com/termsAndConditions#vor
op_doi https://doi.org/10.1002/ppp.2167
container_title Permafrost and Periglacial Processes
container_volume 33
container_issue 4
container_start_page 436
op_container_end_page 451
_version_ 1800736531561840640