黄土湿陷系数与物理性质参数的相关性

摘要

Wet collapsibility coefficient is a common index to judge the class and risk of loess collapse, and to pre-dict the volume of wet collapse. In order to get more conveniently and accurately the wet collapse coefficient of loess in engineering construction site, soil samples have been taken in Qishan and Xinping of Shaanxi Province to carry out geotechnical test in laboratory and to get different physical parameters. Through statistical analysis, it was found that there is good relation among loess collapsibility coefficient, water content, dry density, void ratio and compressive modulus. A series of regression equations have been got through quaternion, ternary and binary fitting of curves. Through simulation and prediction using regression equations it has been found that it is feasible to pre-dict the collapsibility of loess in Guanzhong area by regression equations.%　　湿陷系数是目前用以判断黄土湿陷等级、评判黄土湿陷危害并预测湿陷量的常用指标。为更方便而准确地获取工程建设场地黄土的湿陷系数，通过在关中地区岐山、兴平探井取土，进行室内土工试验，得到土的各项物理性质参数。经统计分析，发现黄土湿陷系数与含水量、干密度、孔隙比以及压缩模量具有较好的相关性。依次进行了四元、三元、二元、一元曲线拟合，得到一系列回归方程。对回归方程预测模拟，发现运用所得回归方程预测关中地区的黄土湿陷性是可行的。