摘要
湿陷性是黄土重要的工程性质,而湿陷系数则是评价黄土湿陷等级的重要指标,本文从工程地质角度学出发分析了各土性指标对湿陷系数的影响,利用数理统计方法建立其内在关系。由于黄土湿陷是众多影响因子共同作用下造成的,且各因素之间并非是完全独立,基于全面选取指标的考虑,采用因子分析理论对孔隙比、干密度、初始含水率、饱和度、塑限、液限、塑性指数、压缩模量八个常见指标进行分析,消除共线性对拟合的影响。将八个指标分为四大类,并从每一大类中选取一个与湿陷系数相关程度最大的因子进行线性回归分析,建立黄土湿陷系数与各影响因子的回归方程。最后,利用甘肃庆阳地区一探井实测数据验证该模型的精确度,结果显示湿陷系数预测结果与实测结果较为接近,对快速、准确预测黄土湿陷系数和评价黄土地区场地湿陷等级具有一定的工程实践和参考价值。
Collapsibility is an important engineering property of loess,and collapse coefficient is an important index for evaluating the collapsibility of loess.In this paper,mathematical statistics method is used to establish their internal relationship various factors influencing the collapse coefficient of loess.The collapsibility of loess is influenced by many factors,and these factors are not completely independent.Therefore,based on the overall selection of indexes,factor analysis theory is applied to analyze porosity ratio,dry density,initial moisture content,saturation,plastic limit,liquid limit,plasticity index and compression modulus to eliminate the influence of collinearity on fitting.These eight indexes are divided into four classes,and one factor that has the greatest correlation with the coefficient of collapsibility is selected to participate in the linear regression analysis from each class,and the linear regression equation of the loess collapse coefficient and the influencing factors is established.Finally,the accuracy of the model is verified by the test data from a well in this region.It turns out that the predicted results of collapse coefficient are close to the test data,which has a certainpractical and reference value for predicting the loess collapsible coefficient and evaluating the loess collapsibility quickly and accurately.
作者
朱凤基
南静静
魏颖琪
白兰
ZHU Fengji;NAN Jingjing;WEI Yingqi;BAI Lan(College of Geology Engineering and Geomatics,Department of Geology Engineering Chang’an University,Xi'an,Shaanxi 710054,China;Xi’an Changqing Technology Engineering Co.,Ltd,Xi’an,Shaanxi 710018,China)
出处
《中国地质灾害与防治学报》
CSCD
2019年第2期128-133,共6页
The Chinese Journal of Geological Hazard and Control
基金
国家基础科学(973)发展计划项目:黄土灾害成灾机理及灾害链演化规律(2014CB744702)
中国地调局项目(NO.121201001000150122)
关键词
黄土湿陷
湿陷系数
因子分析法
相关性
loess collapsibility
collapse coefficient
factor analysis method
correlation
