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A simple approach for predicting soil water characteristic curve of clayey soils using pore size distribution data

机译:一种简单的方法,用于使用孔径分布数据预测粘土土壤水域特性曲线

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The soil water characteristic curve (SWCC) of soils can be derived from the measured pore size distribution (PSD) data by applying capillary models. This method is limited for clayey soils due to the PSD changes during SWCC testing. In this study, a suction-dependent multimodal PSD model based on probability theory is developed and used to derive SWCC. The model is validated by simulating the drying branches of SWCCs of four compacted Lias Clay samples with different initial states. A good consistency between the measured and predicted SWCC is shown.
机译:通过施加毛细管模型,可以从测量的孔径分布(PSD)数据来源的土壤水分曲线(SWCC)。 由于SWCC测试期间PSD变化,该方法限于CLAYEY土壤。 在该研究中,开发了一种基于概率理论的吸入依赖性多模式PSD模型,并用于推导SWCC。 通过使用不同初始状态模拟四个压实的leas粘土样本的SWCC的干燥分支来验证该模型。 显示了测量和预测的SWCC之间的良好一致性。

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