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刘爽, 刘汉龙, 肖杨. 毛细-吸附作用下考虑温度和孔隙比影响的土-水特征曲线研究[J]. 岩土工程学报. DOI: 10.11779/CJGE20231253
引用本文: 刘爽, 刘汉龙, 肖杨. 毛细-吸附作用下考虑温度和孔隙比影响的土-水特征曲线研究[J]. 岩土工程学报. DOI: 10.11779/CJGE20231253
A Soil-Water Characteristic Curve Considering Temperature and Void Ratio under Capillarity and Adsorption[J]. Chinese Journal of Geotechnical Engineering. DOI: 10.11779/CJGE20231253
Citation: A Soil-Water Characteristic Curve Considering Temperature and Void Ratio under Capillarity and Adsorption[J]. Chinese Journal of Geotechnical Engineering. DOI: 10.11779/CJGE20231253

毛细-吸附作用下考虑温度和孔隙比影响的土-水特征曲线研究

A Soil-Water Characteristic Curve Considering Temperature and Void Ratio under Capillarity and Adsorption

  • 摘要: 土-水特征曲线是非饱和土重要的本构关系之一,温度和孔隙比显著地影响土-水特征曲线。结合现有的吸附和毛细模型,引入毛细凝聚因子,建立了考虑毛细-吸附作用的土-水特征曲线模型。引入温度相关的水-气界面张力和润湿热,推导了温度相关的浸润系数解析解和基质吸力,从而建立了毛细-吸附作用下考虑温度影响的土-水特征曲线模型。基于不同孔隙比土的孔隙分布曲线可以通过平移、缩放获得,建立了考虑孔隙比的毛细水模型,结合吸附水模型提出了考虑温度和孔隙比的毛细-吸附解耦的土-水特征曲线模型。模型参数可通过两组同温不同孔隙比和一组不同温度的试验结果确定。对比模型预测与试验结果发现该模型较好地预测了多种土在不同温度和孔隙比下的土-水特征曲线。

     

    Abstract: The soil-water characteristic curve (SWCC) is an important constitutive relationship of unsaturated soils. The temperature and void ratio obviously effect the SWCC of soils. Combining the adsorption and capillary water models for soils and introducing a capillary condensation factor, a SWCC model was obtained. Moreover, an analytical solution of wetting coefficient considering temperature was obtained by considering the non-isothermal water-air interfacial tension and enthalpy of immersion per unit area. Then, a temperature-dependent matric suction and SWCC model were established. Additionally, the pore distribution curves at different void ratio can be obtained by shifting and scaling the curve at the reference state. Then, a void ratio-dependent capillary model was proposed. On this basis, a capillary-adsorption decoupling SWCC model considering temperature, void ratio, and capillary condensation was established. The parameters can be determined from two series of test data with different void ratios at same temperature and one data of different temperature. The comparisons between the predictions and measurement indicates that the model is precise in predicting the SWCCs under different conditions.

     

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