摘要
在工程地质勘察及土工试验资料的基础上,分析影响黄土湿陷性的主要因素,应用数理统计方法,系统研究了不同深度黄土湿陷系数随天然含水量和干密度的变化规律:黄土的湿陷系数sδ随深度的增加而减小;天然含水量w和干密度γd与黄土的湿陷系数sδ均呈直线负相关关系。通过回归分析建立了黄土湿陷系数与其主要影响因素间的线性回归方程:δs=-0.00038w-0.1022γd+0.1839。
On the basis of engineering geological investigation and geotechnical test data, the author analyzed the dominant factors influencing loess collapsibility, by using mathematical statistics, studied systematically changing tendency of collapsibility coefficient of loess (δs) along with the variations of its natural water content (ω) and dry density (γd) in loess at different depths. As the depth increases, the δs reduces; the ω and γd are negatively correlated with the δs. A linear equation between collapsibility coefficient of loess and its main influential factors have been established through regression analysis: δs = - 0. 000 38 ω - 0.102 2 7γd + 0.183 9.
出处
《世界地质》
CAS
CSCD
2007年第1期108-113,共6页
World Geology
关键词
含水量
干密度
湿陷系数
回归分析
water content
dry density
collapsibility coefficient
regressive analysis