Abstract Soil hydraulic conductivity depends not only on the state variables such as void ratio and pore size distribution, but also on its physical/geotechnical properties. In this study, Atterberg limits, hydraulic conductivity and mercury intrusion porosimetry (MIP) tests were performed on MX80 bentonite/Callovo-Oxfordian (COx) claystone mixtures. Based on the experimental results obtained in this study together with the test data compiled from literature, a general capillary model considering Np pores in series was used to evaluate the influence of soil plasticity on the relationship between hydraulic conductivity and pore size distribution. It was found that the best pore interconnection parameter Np was highly dependent on the soil property. The larger the plasticity index, the larger the best Np value and the more complex the pore interconnection. The relationship between the best Np value and plasticity index could be well described by an exponential equation. The general capillary model was then improved to estimate the hydraulic conductivity of different soils. The estimated values using the improved general capillary model were finally compared with the measured ones and the good agreement between the measurement and estimation revealed the good performance of the proposed model.

中文翻译：

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基于一般毛细管模型评价土壤塑性对导水率的影响

摘要 土壤导水率不仅取决于孔隙比和孔径分布等状态变量，还取决于其物理/岩土特性。在这项研究中，对 MX80 膨润土/Callovo-Oxfordian (COx) 粘土岩混合物进行了阿特伯格极限、水力传导率和压汞孔隙率 (MIP) 测试。根据本研究得到的试验结果，结合文献整理的试验数据，采用考虑串联Np孔的通用毛细管模型评价土壤可塑性对导水率与孔径分布关系的影响。结果表明，最佳孔隙互连参数 Np 高度依赖于土壤性质。塑性指数越大，最佳 Np 值越大，孔隙互连越复杂。最佳 Np 值与塑性指数之间的关系可以用指数方程很好地描述。然后改进一般毛细管模型以估计不同土壤的水力传导率。最后将使用改进的通用毛细管模型的估计值与测量值进行比较，测量值和估计值之间的良好一致性表明所提出的模型具有良好的性能。