路基压实质量连续检测参数的空间分布特征分析

摘要

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.%明确路基压实质量连续检测参数的空间分布特征是路基压实质量均匀性评价的前提条件.以沪昆高铁芷江试验段的路基压实质量连续检测数据为基础,以压实计值CMV为例,基于探索性数据分析方法,通过Kolmogorov-Smirnov检验、Moran's Ⅰ系数和建立的半变异函数模型对路基压实质量连续检测参数进行正态分布检验,以及空间自相关性和空间变异性分析,研究路基压实质量连续检测参数的空间分布特征.结果表明:采集到的CMV接近于标准正态分布,满足半变异函数建模的前提条件,且总体上存在显著的空间正相关性,其空间自相关程度随样本点间距离的增加而减弱;CMV沿路基横向的总变异及结构性变异均较其沿路基纵向的强;研究得到的压实质量连续检测参数的空间分布规律可为路基压实质量的均匀性评价提供一定的理论支撑.