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作 者:刘爽 刘汉龙[1,2,3] 肖杨 LIU Shuang;LIU Hanlong;XIAO Yang(School of Civil Engineering,Chongqing University,Chongqing 400045,China;Key Laboratory of New Technology for Construction of Cities in Mountain Area,Chongqing University,Chongqing 400045,China;National Joint Engineering Research Center of Geohazards Prevention in the Reservoir Areas,Chongqing 400045,China)
机构地区:[1]重庆大学土木工程学院,重庆400045 [2]重庆大学山地城镇建设与新技术教育部重点实验室,重庆400045 [3]库区环境地质灾害防治国家地方联合工程研究中心,重庆400045
出 处:《岩土工程学报》2025年第4期877-886,共10页Chinese Journal of Geotechnical Engineering
基 金:国家自然科学基金项目(52078085);重庆市研究生科研创新项目(CYB23057)。
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。The soil-water characteristic curve(SWCC)is an important constitutive relationship of unsaturated soils.The temperature and void ratio obviously affect the SWCC of soils.By combining the adsorption and capillary water models for soils with the introduction of a capillary condensation factor,a SWCC model is proposed.Moreover,an analytical solution for wetting coefficient considering temperature is 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 is established.Additionally,the distribution curves of pores at different void ratios can be obtained by shifting and scaling the curve at the reference state.Then,a void ratio-dependent capillary model is proposed.On this basis,a capillary-adsorption decoupling SWCC model considering temperature,void ratio and capillary condensation is established.The parameters can be determined from two series of test data with different void ratios at the same temperature and one data of different temperatures.The comparison between the predictions and measurements indicates that the proposed model is precise in predicting the SWCCs under different conditions.
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