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基于土壤转换函数(PTF)预测不同初始孔隙比土的土-水特征曲线

叶云雪, 邹维列, 袁斐, 刘家国

叶云雪, 邹维列, 袁斐, 刘家国. 基于土壤转换函数(PTF)预测不同初始孔隙比土的土-水特征曲线[J]. 岩土工程学报, 2018, 40(12): 2305-2311. DOI: 10.11779/CJGE201812019
引用本文: 叶云雪, 邹维列, 袁斐, 刘家国. 基于土壤转换函数(PTF)预测不同初始孔隙比土的土-水特征曲线[J]. 岩土工程学报, 2018, 40(12): 2305-2311. DOI: 10.11779/CJGE201812019
YE Yun-xue, ZOU Wei-lie, YUAN Fei, LIU Jia-guo. Predicating soil-water characteristic curves of soils with different initial void ratios based on a pedotransfer function[J]. Chinese Journal of Geotechnical Engineering, 2018, 40(12): 2305-2311. DOI: 10.11779/CJGE201812019
Citation: YE Yun-xue, ZOU Wei-lie, YUAN Fei, LIU Jia-guo. Predicating soil-water characteristic curves of soils with different initial void ratios based on a pedotransfer function[J]. Chinese Journal of Geotechnical Engineering, 2018, 40(12): 2305-2311. DOI: 10.11779/CJGE201812019

基于土壤转换函数(PTF)预测不同初始孔隙比土的土-水特征曲线  English Version

基金项目: 国家自然科学基金项目(51479148,51779191)
详细信息
    作者简介:

    叶云雪(1988- ),男,博士研究生,主要从事非饱和土特性方面的研究工作。E-mail: yeyunxue@163.com。

  • 中图分类号: TU43

Predicating soil-water characteristic curves of soils with different initial void ratios based on a pedotransfer function

  • 摘要: 提出了预测van Genuchten(VG)模型参数n的一个土壤转换函数(pedotransfer function, PTF),该函数是一个非线性回归方程,结合VG模型参数α与初始孔隙比e0的回归方程,来预测不同初始孔隙比土的土-水特征曲线(SWCC)。nα回归方程中的拟合参数(a,bA,B)只需通过3组常规的SWCC试验数据即可校正。将选取的具有代表性的各个文献中的试验数据均分成两部分:一部分用于校正拟合参数(a,bA,B),另一部分用于验证基于PTF预测SWCC方法的准确性。结果表明,基于PTF所预测得SWCC与文献中的试验数据具有很好的一致性。PTF只需引入一个预测变量即初始孔隙比e0;它不仅适用于变形土,也适用于非变形土。
    Abstract: A pedotransfer function (PTF), which is a nonlinear regression equation, is proposed for predicting the parameter n of the van Genuchten (VG) model. Considering the regressive relationship between the parameter α of the VG model and the initial void ratio e0, the soil-water characteristic curves (SWCCs) of soil specimens with different initial void ratios can be accurately predicted. The fitting parameters (i.e., a, b and A, B) of the regression equations corresponding to the parameters n and α can be calibrated using the test data obtained from three sets of conventional SWCC tests. The test data in each reference available are divided into two parts. One part is used for the calibration of the fitting parameters (i.e., a, b and A, B), and the other part is employed for the verification of the predicted SWCCs based on PTFs. The results show that the SWCCs, which are predicted by using the proposed nonlinear regression equation (PTF) concerning the parameter n of the VG model, have good agreement with the test data in the references. Only one predictive variable (i.e., initial void ratio, e0) is needed in the proposed PTF. This PTF is suitable for both rigid and deformable soils.
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出版历程
  • 收稿日期:  2017-10-23
  • 发布日期:  2018-12-24

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