冻土水力传导系数的理论模型研究
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  • 英文篇名:Research on theoretical model for hydraulic conductivity in frozen soils
  • 作者:汤瑞 ; 周国庆 ; 王建州 ; 赵光思 ; 焦威
  • 英文作者:Tang Rui;Zhou Guoqing;Wang Jianzhou;Zhao Guangsi;Jiao Wei;State Key Laboratory for Geomechanics and Deep Underground Engineering,China University of Mining & Technology;
  • 关键词:冻土 ; 水力传导系数 ; 模型 ; 孔隙大小 ; 冻结温度 ; SFCC
  • 英文关键词:frozen soils;;hydraulic conductivity;;models;;pore size;;freezing temperature;;SFCC
  • 中文刊名:NYGU
  • 英文刊名:Transactions of the Chinese Society of Agricultural Engineering
  • 机构:中国矿业大学深部岩土力学与地下工程国家重点实验室;
  • 出版日期:2019-02-23
  • 出版单位:农业工程学报
  • 年:2019
  • 期:v.35;No.356
  • 基金:国家自然科学基金面上项目(NO.41672343,NO.41772338);; 国家自然基金(NO.51204164)
  • 语种:中文;
  • 页:NYGU201904017
  • 页数:7
  • CN:04
  • ISSN:11-2047/S
  • 分类号:146-152
摘要
冻土水力传导系数多采用经验公式来描述,其结果缺少理论依据。该文从冰水界面水膜热力学理论出发,对克拉贝隆方程进行修正,得到孔隙水冻结温度与孔隙半径的关系式。基于此,结合毛细管束理论和土壤冻结特征曲线(SFCC),给出预测冻土水力传导系数的理论模型,并与前人的实测值和经验公式进行对比分析。结果表明:孔隙冻结温度随着孔隙半径的减小而下降,且温度下降速率也随之逐渐增大;考虑未冻孔隙水和未冻水膜作为水分的迁移通道,该模型计算值与试验结果具有很好吻合度,且优于经验公式,验证该模型的合理性;最后指出SFCC的拟合效果会影响该模型的预测结果。
        The hydraulic conductivity of frozen soil is not only one of the main factors affecting the speed of moisture migration, but also an important model parameter in a large number of frost heave models. However, the study of the hydraulic conductivity for frozen soil is often described by empirical formulas. The calculation results lack a theoretical basis, and the predicted values of different empirical formulas often have enormous deviations. Therefore, it is debatable to use the empirical formula to predict the hydraulic conductivity coefficient of frozen soil. In order to reveal the process of moisture migration, according to the theory of water film thermodynamics at the ice-water interface, this paper points out that the water flow can be regarded as the Darcy flow under the equivalent pressure control in frozen soil. On this basis, the expression of pore water freezing temperature and pore radius is obtained. The capillary bundle theory is applied to the frozen soil and combined with the soil frozen characteristic curve to give a theoretical model for predicting the hydraulic conductivity of frozen soil, Meanwhile, the function of pore radius probability density is eliminated to make this proposed model convenience to calculate and use. The calculated values of this model are compared with the experimental data and empirical formulas of the predecessors. The results show that the pore freezing temperature decreases with the decrease of pore radius, and the temperature drop rate also increases. The freezing temperature reduction rate is significantly accelerated especially when the pore radius is less than 10-6 m. Considering the unfrozen pore water and the unfrozen water film as the migration channel of moisture, in general, the calculated values of this model agree well with the experimental results and are better than the empirical formula, which proves the rationality of the model. The predicted values of the hydraulic conductivity of frozen soil obtained by three empirical formulas are even different by four orders of magnitude for Qinghai-Tibet silty clay. Although the predicted value obtained by the Fowler formula is closer to the measured value, there is an empirical coefficient in the prediction formula. For the empirical coefficient is often arbitrarily determined in a certain range, and it is no clear physical meaning and calculation procedure, which leads to the reliability of the predicted value from the empirical formula is debatable. At the same time, the power function is used to fit the soil frozen characteristic curve(SFCC) in this model, which tends to infinity near 0 ℃. In order to ensure the continuity of the function of the SFCC, the piecewise function is used to describe the soil frozen characteristic curve, but the deviation of the calculated and measured values of the model within 0--0.035 7 ℃. Because the model is based on a quasi-steady state process, and the frozen soil is in the stage of intense phase change near 0 ℃. Thus, this paper pointed out that the fitting formula of the soil frozen characteristic curve is very important to this model for reducing this deviation near 0 ℃.
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