Detecting concealed damage in asphalt pavement based on a composite lead zirconate titanate/polyvinylidene fluoride aggregate. Issue 11 (4th September 2019)

• Record Type: Journal Article
• Authors: Ji, Xiaoping; Chen, Yun; Hou, Yueqin; Zhen, Yikang
• Is Part Of: Structural control and health monitoring. Volume 26:Issue 11(2019)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-09-04
• Subjects: acoustic wave -- asphalt pavement -- concealed damage -- intelligent monitoring -- piezoelectric effect -- PZT; Structural engineering -- Periodicals; Structural control (Engineering) -- Periodicals; Automatic data collection systems -- Periodicals; Detectors -- Periodicals; 624.17
• DOI: 10.1002/stc.2452
• Languages: English
• ISSNs: 1545-2255

Abstract

Summary: As an important research topic, the utilization of wireless sensors has attracted widespread attention in pavement engineering recently. In this study, a composite lead zirconate titanate/polyvinylidene fluoride aggregate (CPA) was embedded into asphalt pavement to monitor the concealed damage. A CPA‐based method for monitoring concealed damage in asphalt pavement cracks was established. According to the analysis of the testing results of the CPA‐based method, it was found that (a) for monitoring changes in the crack width, the amplitude attenuation of the signal is more sensitive than the frequency shift. Thus, the amplitude attenuation is selected and recommended as a monitoring indicator. (b) The root mean square deviation ( RMSD ) of the amplitude, as a more universal indicator, was proposed for increasing the sensitivity. It is independent of the asphalt mixture properties and grows approximately parabolically with the crack width in asphalt pavement. (c) A relationship model between the crack width and the RMSD was established. The maximum absolute and relative errors between the measured and monitored crack widths are 0.18 mm and 4.2 %, respectively, according to the laboratory investigation. This study provides a reference for the development and application of intelligent monitoring for concealed damage in asphalt mixtures.