沥青路面压实过程的数字化控制指标

Digital Control Indicators for Asphalt Pavement Compaction Process

传统的沥青路面压实质量检测手段无法实现实时监测与控制,然而三维扫描技术的引入为压实过程的数字化控制提供了可能。利用车辙试样成型机在实验室内对不同级配的车辙板进行压实,并分析沥青路面压实过程中的最大峰高(Sp)和平均断面深度(MPD)两个三维纹理特征参数的变化规律。研究结果显示,MPD数值持续减少,而Sp在压实初期迅速下降,后期趋于收敛。为验证Sp作为控制压实度的指标的有效性,采用Bland-Altman模型对Sp的一致性进行了分析,结果显示Sp与压实度之间具有良好的一致性。基于数字化的数据采集手段和计算方法,提出了沥青路面压实质量评价和控制的数字化指标,为沥青路面施工的数字化和实时控制提供了新思路。

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.