Abstract
One of the main objectives of utilizing intelligent compaction (IC) technology is to increase the uniformity and consistency of compaction operation. In this study, intelligent compaction measurement values (CMVs) in a reclaimed base project in Route 117, Vermont were used to perform a geo-statistical analysis. Semivariogram models were constructed to investigate the spatial structure and uniformity of compaction during the first and second reclaimed phases. The uniformity of the compaction operation was evaluated using the semivariogram model parameters (range, sill, and nugget). Furthermore, the semivariogram models of in-situ spot measurements were generated to verify the suitability of different types of measurements in capturing the geo-spatial trends in pavement layers. Then, the spatial statistics of each measurement were compared to the univariate statistics. It was found that the data variance might be closely related to each other, but there is no relation between these values and the spatial uniformity of the compacted area. The results indicated that the spatial structures of both compacted layers (i.e., first and second reclaimed layers) were successfully captured through all three types of measurements, where the second reclaimed phase revealed a higher degree of uniformity. In addition, geo-statistical analysis of both reclaimed layers revealed a higher degree of uniformity in dynamic cone penetration index (DCPI) data compared to other compaction measurements. On the other hand, a relatively high degree of inconsistency observed among the CMV measurements. It should be acknowledged that the conclusions of this study are based on data from only one project, specific to the characteristics/conditions of that project.KeywordsIntelligent compaction (IC)Geo-statistical analysisUniformity of compactionReclaimed base projectIn-situ spot measurements
Published Version
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