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传统的路基压实质量均匀性评价方法均基于变异系数等概率统计指标,未能考虑检测数据的空间分布特性,难以准确评价路基压实质量的不均匀性。基于地统计学理论,建立半变异函数模型描述连续压实检测数据的空间变异性,采用指数模型对半变异函数曲线进行最优拟合,并提出偏基台值C作为路基压实均匀性控制指标。分别采用地统计方法与传统数理统计法对沪昆客运专线芷江试验段的路基进行压实均匀性评价。结果表明:在压路机振动频率波动或存在压实薄弱区域的情况下,与传统数理统计指标变异系数Cv相比,地统计指标C可消除系统误差等随机性因素对均匀性评价结果的影响,更能客观反映不同工况下的填筑土体在空间上的不均匀压实状态,其结果为铁路路基压实均匀性评价提供了新的思路。
The traditional evaluation methods of subgrade compaction quality uniformity are all based on the statistical indexes such as the coefficient of variation. The spatial distribution of the test data can not be considered and it is difficult to accurately evaluate the heterogeneity of subgrade compaction quality. Based on the geostatistical theory, the semi-variogram model was established to describe the spatial variability of continuous compaction test data, and the exponential model was used to fit the semi-variogram curve optimally. The partial table C was proposed as subgrade compaction uniformity control index. The compaction uniformity of subgrade in Zhijiang test section of Shanghai-Kunming Passenger Dedicated Railway was evaluated by geostatistical method and traditional mathematical statistics respectively. The results show that in the case of fluctuating vibration frequency of vibratory roller or the area where compaction is weak, the statistical index C can eliminate the influence of random factors, such as system error, on the uniformity evaluation result, compared with the traditional mathematical statistical coefficient of variation coefficient Cv Which can objectively reflect the non-uniform compaction state of filled soil under different conditions. The results provide a new idea for evaluating the compaction uniformity of railway subgrade.