A soil freezing characteristic curve model for capturing void ratio and specific surface area effects

ZHANG Ji-wen; MU Qing-yi; LIAO Hong-jian; LIU Fen-liang

doi:10.16285/j.rsm.2019.1982

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A soil freezing characteristic curve model for capturing void ratio and specific surface area effects

更新时间：2026-06-25

- A soil freezing characteristic curve model for capturing void ratio and specific surface area effects
- Vol. 41, Issue 9, Pages: 2913-2921(2020)
- 作者机构：
  
  1. 西安交通大学土木工程系,陕西,西安,710049
  2. 机械工业勘察设计研究院有限公司,陕西,西安,710043
  3. 陕西省特殊岩土性质与处理重点实验室,陕西,西安,710043
- 作者简介：
- 基金信息：
- DOI：10.16285/j.rsm.2019.1982
  CLC： TU41
- Online First：21 October 2020，
  
  Published：2020
- 稿件说明：
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ZHANG Ji-wen, MU Qing-yi, LIAO Hong-jian, et al. A soil freezing characteristic curve model for capturing void ratio and specific surface area effects[J]. 2020, 41(9): 2913-2921.
DOI：

ZHANG Ji-wen, MU Qing-yi, LIAO Hong-jian, et al. A soil freezing characteristic curve model for capturing void ratio and specific surface area effects[J]. 2020, 41(9): 2913-2921. DOI： 10.16285/j.rsm.2019.1982.

摘要

土体未冻结含水率曲线模型描述温度和未冻结含水率之间的关系，该模型对计算冻土强度、变形以及水热迁移具有重要意义。考虑孔隙水毛细和吸附作用，提出了一个新的土体未冻结体积含水率曲线模型。该模型假设在较高温度下（0～?2 ℃），毛细作用支配土体中孔隙水冻结，该过程中毛细水冻结受孔隙比影响。另一方面，在较低温度下（<?2 ℃），吸附作用在孔隙水冻结中起主导作用，该过程中吸附水冻结受比表面积影响。结合文献中已有土体未冻结体积含水率曲线的测试数据（包括不同土体孔隙比、比表面积以及广温度范围），对模型进行验证。同时将所提模型与文献中3种常见模型计算结果进行对比，讨论新模型的优越性。结果发现，只有新提出的模型可只用一套参数计算不同土体孔隙比的未冻结体积含水率曲线。此外，针对土体在广温度范围条件下的未冻结体积含水率曲线，新提出模型比已有模型有更好的计算结果。

Abstract

Soil freezing characteristic curve (SFCC) defines the relationship between temperature and unfrozen water content. SFCC plays an important role in estimating strength and deformation behavior of frozen soil as well as heat-water transfer in frozen soil. In this work

a new model for SFCC is proposed by explicitly considering capillarity and adsorption. The freezing of pore water is assumed to be dominated by capillarity (i.e.

0～?2 ℃) and adsorption (i.e.

<?2 ℃) at high and low temperatures

respectively. The capillarity and adsorption are controlled by soil void ratio and specific surface area

respectively. Extensive experimental data found in the literature (i.e.

SFCC with different void ratios; SFCC at wide temperature range; SFCC with different soil specific surface areas) are used to validate the newly proposed model. Three existing models are also adopted to compute the experimental data. Comparisons of the computed results show that only the newly proposed model can capture the void ratio dependent SFCC with one series of parameter. On the other hand

the newly proposed model performs better in computing SFCC at a wide temperature range and those SFCCs with high specific surface areas than those existing models.

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