基于土壤物理特性扩展技术的土水特征曲线预测方法

刘士雨; 俞缙; 蔡燕燕; 涂兵雄

doi:10.11779/CJGE201705017

基于土壤物理特性扩展技术的土水特征曲线预测方法 English Version

刘士雨^{1, 2},
俞缙^{1, 2},
蔡燕燕^{1, 2},
涂兵雄^{1, 2}

1. 华侨大学土木工程学院,福建厦门 361021;
2. 福建省隧道与城市地下空间工程技术研究中心,福建厦门 361021

基金项目: 国家自然科学基金面上项目（51679093,51374112）; 福建省自然科学基金面上项目（2015J01210）; 福建省教育厅科技产学研项目（JA15023）; 华侨大学引进高层次人才启动项目（14BS211）

详细信息

作者简介:
刘士雨(1979- ),男,博士,讲师,主要从事非饱和土力学理论与试验等方面的教学和研究工作。E-mail: scholarrain@163.com。

中图分类号: TU442
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出版历程
- 收稿日期: 2016-05-21
- 发布日期: 2017-05-24

Prediction of soil water characteristic curve using physically based scaling technique

LIU Shi-yu^{1, 2},
YU Jin^{1, 2},
CAI Yan-yan^{1, 2},
TU Bing-xiong^{1, 2}

1. College of Civil Engineering, Huaqiao University, Xiamen 361021, China;
2. Fujian Research Center for Tunneling and Urban Underground Space Engineering, Huaqiao University, Xiamen 361021, China

摘要

摘要: 土水特征曲线是模拟水和污染物在非饱和土中运移的重要水力特性参数。但是,土水特征曲线的直接量测方法比较困难。Arya 和 Paris 提出了一种通过粒径分布曲线预测土水特征曲线的模型——AP模型。该模型引入一个转换系数a建立土体假想形态与真实形态之间的联系。但是,现有的推导系数a的方法一方面计算过程过于复杂,另一方面没有全面考虑土的物理特性。基于土壤物理特性扩展技术提出一种新的计算参数a的方法。为了验证新方法,从非饱和土水力特性数据库中选出不同类型的土壤样本,采用新方法分别计算出各类型土壤的参数a。然后,将计算出的参数a用于预测其他土样的土水特征曲线,从而验证新方法计算出的参数a的有效性。还将提出的新方法与其他利用AP模型预测土水特征曲线的代表性方法进行对比,结果显示该方法预测结果更加准确。
- 土水特征曲线 /
- 土壤物理特性 /
- Arya和Paris模型 /
- 扩展技术
Abstract: The soil water characteristic curve (SWCC) is an important hydraulic parameter for modeling water flow and contaminant transport in the unsaturated soil. However, direct measurement of the SWCC is still difficult. The Arya and Paris (AP) model estimates the SWCC from particle-size distribution curve (PSD) based on the shape similarity of the two curves. It introduces an empirical parameter, a, used to scale pore attributes from hypothetical formations to natural structures. Several approaches are used to derive a. However, the calculation procedures of these approaches are either quite complicated or developed without paying much attention to the physical significance of the soil properties. In the present paper the physically based scaling technique (PBS) is employed to derive a for the AP model. Fifty soil samples, representing a range of textures that include sand, sandy loam, loam, silt loam and clay, are selected from UNSODA hydraulic property database for calculating a using the PBS approach. In addition, nineteen soil samples with different textures are used to verify the effectiveness of proposed a values. The results are compared with those of other approaches and show that the PBS technique combining with the AP model is a more useful and easier approach to predict SWCC from PSD.
- soil water characteristic curve /
- basic soil property /
- Arya and Paris model /
- scaling technique

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参考文献(23)

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