路基智能压实的地统计分析与空间均匀性评价

Geostatistical analysis and evaluation of subgrade spatial uniformity based on intelligent compaction technology

基于数据变异性的传统路基智能压实均匀性评价,难以量化压实数据的空间分布特性和反映路基压实的局部不均匀现象。为解决上述问题,本文在吉林省松原市松通高速进行路基智能压实试验,采集不同压实遍数下压实参数的空间信息,基于地统计学原理建立路基压实面的半方差函数模型,明晰压实参数的概率分布特征和空间自相关性,评价路基的空间分布特性和局部均匀性。结果表明:试验段压实参数振动模量服从正态分布,其空间自相关距离为5~8 m,最大自相关系数为0.6~0.8;地统计参数的块金和变程分别与压实面的空间分异性和斑块分布面积相关;最近邻指数可以量化工程中压实薄弱点的聚集程度,其大于1时薄弱点分散空间均匀性好。

The standard subgrade uniformity evaluation method,which relies on data variability,struggles to quantify the spatial distribution properties of the compaction data and is unable to identify regional compaction surface non-uniformity.To solve this issue,test fields constructed under the Songtong Expressway′s subgrade were used to obtain spatial data of compaction.Based on geostatistical approaches,a half-variance function model with intelligent compaction parameters were established,to reveal the probability distribution and spatial autocorrelation of the subgrade,and then evaluate the regional uniformity of the subgrade.The results reveal that,the vibration modulus followed the normal distribution;The spatial autocorrelation distance was approximately 5~8 meters and the maximum autocorrelation coefficient was about 0.6~0.8;The nugget and geographic heterogeneity were positively correlated,while the range and patchiness were negatively correlated.The nearest neighbor index revealed the level of weak point concentration,and if it is larger than 1,it signifies that the weak points are separated and the spatial uniformity is good.