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机构地区:[1]北京交通大学土木建筑工程学院,北京100044
出 处:《北京工业大学学报》2010年第11期1457-1464,共8页Journal of Beijing University of Technology
基 金:国家自然基金资助项目(50778013);北京市自然基金资助项目(8082020);国家重点基础研究计划(973)资助项目(2010CB732100)
摘 要:为了降低土水特征曲线测量成本,利用基本土性参数预测粒状土和黏塑性土的土水特征曲线.分析了土性参数与土水特征曲线之间的关系,说明了采用基本土性参数来预测土水特征曲线的合理性.给出了土水特征曲线的预测方法,分别对粒状土和黏塑性土取不同土性参数的情况进行了回归拟合,给出了相应的二元、三元及四元回归方程.并将回归计算的结果与实验拟合的土水特征曲线进行了对比,结果表明,本文方法可以很好地预测土水特征曲线的基本走势.This paper explores the issue of establishing the regression relationship between soil characteristic parameters and the model of SWCC from the angle of basic physical soil properties. Firstly it discusses the soil factors which could influence SWCC, and the application of SWCC in engineering. Then it introduces the function of SWCC based on pore-size distribution curve by Fredlund and Xing. It also presents the conception and physical meaning of the equivalent capillary head. By fitting the existed experimental data with the equation of Fredlund and Xing, the fitted parameters in the model can be obtained. Then it establishes three different regression relationships, with 2, 3 and 4 independent variables respectively, for granular and plastic-cohesive materials. The calculated parameters are compared with the experimental fitted parameters. The analysis of the results of various regressions method is given, and the best regression functions are recommended. The predictions of the method could well capture the tendency of SWCC.
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