Digital Control Indicators for Asphalt Pavement Compaction Process
Traditional methods for assessing the compaction quality of asphalt pavement lack real-time monitoring and controlling.The introduction of three-dimensional scanning technology offers the potential for real-time acquisition of three-dimensional texture data of the pavement,enabling digital control of the compaction process.In this study,rutting test specimens with different gradations are compacted using a rutting test specimen molding machine in the laboratory.The variations in two three-dimensional texture parameters,namely Maximum Peak-to-Valley Height(Sp)and Mean Profile Depth(MPD),during the compaction process of asphalt pavement are analyzed.The results demonstrate a continuous decrease in MPD values,while Sp exhibits a rapid initial decrease followed by a significant convergence trend.To validate the effectiveness of Sp as an indicator for controlling the degree of compaction,the Bland-Altman model is employed to analyze the consistency of Sp with the compaction degree,revealing a strong correlation between Sp and compaction degree.This study,utilizing digital data acquisition and calculation methods,presents a digital index for evaluating and controlling the compaction quality of asphalt pavement,offering novel insights for the digitization and real-time control of asphalt pavement construction.
asphalt pavementcompaction processthree-dimensional texture featurescompaction control indicators
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