摘要
通过对西北黄土地区地基承载力及其主要影响因素分布规律的研究,结合湿陷性黄土的分布特征,进行了黄土地区地基承载力的分区。并采用SPSS数据分析软件对大量的实测载荷试验数据和相应的物理力学指标进行了回归分析,确定了各区域内地基承载力的回归公式。工程实例的结果表明,本文的分区非线性回归公式的精度比目前采用的规范评价方法的精度高。因此,对黄土地区公路工程地基承载力评价时,建议采用分区非线性回归公式预测法。
Based on the study of distribution pattern of foundation bearing capacity and the major contributory factor in loess district, the paper studied on the division of foundation bearing capacity of loess district, taking into account of the distribution characteristics of collapsible loess. Through using SPSS analysis software the paper analysed plenty of data of foundation bearing capacity and the major contributory factor and proposed the regression formula for each district. The demonstration project showed that the precision of nonlinear regression formula of subarea is higher than that of the method of present code. The forecasting method of nonlinear regression formula for each district should be adopted in evaluating the foundation bearing capacity of highway engineering in loess area.
出处
《公路交通科技》
CAS
CSCD
北大核心
2005年第9期12-15,共4页
Journal of Highway and Transportation Research and Development
基金
交通部西部交通建设科技项目资助(2001 318 223 16)
关键词
黄土地区
公路工程
地基承载力
分区
回归公式
载荷试验
Loess area
Highway engineering
Foundation bearing capacity
Subarea
Regression formula
Plate loading test