中国铁道科学2017，Vol.38Issue(2)：6-10,5.DOI:10.3969/j.issn.1001-4632.2017.02.02
路基压实质量连续检测参数的空间分布特征分析
Analysis on Spatial Distribution Characteristics of Continuous Detection Parameter for Compaction Quality of Subgrade
摘要
Abstract
To make clear the spatial distribution characteristics of the continuous detection parameters for the compaction quality of subgrade is the precondition for the evaluation of compaction quality uniformity.Based on the continuous detection data for subgrade compaction quality obtained from Zhijiang test section of Shanghai-Kunming high speed railway,taking the compaction value CMV for example,with the exploratory spatial data analysis method,the normal distribution tests as well as the analysis of spatial autocorrelations and variations were carried through on the continuous detection data for subgrade compaction quality by means of the Kolmogorov-Smirnov test,the Moran's coefficient and the established semivariogram model to study the spatial distribution characteristics of the continuous detection parameters for the compaction quality of subgrade.Results show that the collected CMV is close to standard normal distribution and meets the precondition for semi-variogram modeling.There is an obvious positive spatial correlation on the whole.Moreover,the spatial autocorrelation degree of CMV decreases with the increase of the distance between sample points.Both the total variation and structural variation of CMV in the transverse direction of subgrade are stronger than those in the longitudinal direction of subgrade.The spatial distribution characteristics of continuous detection parameters for compaction quality obtained from the study can provide some theoretical support for the evaluation of compaction quality uniformity.关键词
路基/压实质量/连续检测/检测参数/空间分布/分布特征/数据分析/高速铁路Key words
Subgrade/Compression quality/Continuous detection/Detection parameter/Spatial distribution/Distribution characteristics/Data analysis/High speed railway分类
交通工程引用本文复制引用
聂志红,谢扬,焦倓..路基压实质量连续检测参数的空间分布特征分析[J].中国铁道科学,2017,38(2):6-10,5.基金项目
国家自然科学基金资助项目(51478481) （51478481）
