Wang Duanyi, Luo Chuanxi, Fu Meng, Zhang Wenting, Xie Wenjie
School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510000, China.
Xiaoning Institute of Roadway Engineering, Guangzhou 510000, China.
Materials (Basel). 2025 Apr 17;18(8):1848. doi: 10.3390/ma18081848.
In the context of the rapid advancement of reconstruction and expansion projects, there has been a significant increase in the demand for the inspection and evaluation of existing asphalt pavements. In order to enhance the efficiency and effectiveness of joint detection using 3D ground-penetrating radar and falling weight deflectometers, this study investigates non-destructive testing methods for existing asphalt pavements based on geostatistical correlation principles. The relationship between crack rate and deflection is analyzed using group average values. The characteristic sections division method based on the crack rate guideline was realized. Research on the prediction method for deflection using Kriging interpolation has been conducted. Research has revealed that there is a positive correlation between the crack rate and the deflection index. The principle of the singularity index can be employed to divide characteristic sections. The falling weight deflectometer is capable of conducting targeted testing in accordance with characteristic sections. Furthermore, the superior performance of Kriging interpolation in predicting deflection compared with linear interpolation has been demonstrated. According to the Kriging interpolation principle, the detection interval of slow lane deflection should not be more than 100 m. Kriging interpolation on one way lane of matrix data has the best effect, and it can predict deflection using a limited amount of slow lane and hard shoulder data. This facilitates analysis of the changing trend of the deflection index in cases where detection conditions are constrained. This method is of great significance for grasping the true performance status of the existing asphalt pavement structure.
在重建与扩建工程快速推进的背景下，对既有沥青路面的检测与评估需求显著增加。为提高利用三维探地雷达和落锤式弯沉仪进行接缝检测的效率和效果，本研究基于地质统计学相关原理，对既有沥青路面的无损检测方法展开研究。采用组平均值分析裂缝率与弯沉之间的关系。实现了基于裂缝率指标的特征断面划分方法。开展了利用克里金插值法预测弯沉的方法研究。研究表明，裂缝率与弯沉指标之间存在正相关关系。可采用奇异性指数原理划分特征断面。落锤式弯沉仪能够根据特征断面进行有针对性的检测。此外，已证明克里金插值法在预测弯沉方面比线性插值具有更优越的性能。根据克里金插值原理，慢车道弯沉检测间距不宜超过100 m。对主线数据单车道进行克里金插值效果最佳，利用有限的慢车道和硬路肩数据即可预测弯沉。这便于在检测条件受限的情况下分析弯沉指标的变化趋势。该方法对于掌握既有沥青路面结构的真实性能状况具有重要意义。
