Rock and Soil Mechanics ›› 2020, Vol. 41 ›› Issue (9): 2913-2921.doi: 10.16285/j.rsm.2019.1982

• Fundamental Theroy and Experimental Research • Previous Articles     Next Articles

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

ZHANG Ji-wen1, 2, 3, MU Qing-yi1, LIAO Hong-jian1, LIU Fen-liang1   

  1. 1. Department of Civil Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, China; 2. China Jikan Research Institute of Engineering Investigations and Design, Co. Ltd., Xi’an, Shaanxi 710043, China; 3. Shaanxi Key Laboratory for the Property and Treatment of Special Soil and Rock, Xi’an, Shaanxi, 710043, China
  • Received:2019-11-25 Revised:2020-03-23 Online:2020-09-11 Published:2020-10-21
  • Supported by:
    This work was supported by the National Natural Science Foundation of China(51909205, 51879212, 41630639), the Science and Technology Co-ordination and Innovation Project of Shaanxi Province in China(2016KTZDSF03-02) and the CMEC 2017 Science and Technology Research and Development Fund Project(CMEC-KJYF-2017-05).

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.

Key words: frozen soil, unfrozen water content, void ratio, specific surface area

CLC Number: 

  • TU 411
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