Accurate Detection of Concrete Pavement Thickness Based on Ultrasonic Array

Yu Tian, Jinyu Wu, Shifu Liu (), Jianming Ling, Yaqi Zheng, Xindong Zhao and Le Liu
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Yu Tian: Key Laboratory of Transport Industry of Road Structure and Material, Research Institute of Highway, Ministry of Transport, Beijing 100029, China
Jinyu Wu: Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Key Laboratory of Infrastructure Durability and Operation Safety in Airfield of CAAC, Tongji University, Shanghai 200092, China
Shifu Liu: Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Key Laboratory of Infrastructure Durability and Operation Safety in Airfield of CAAC, Tongji University, Shanghai 200092, China
Jianming Ling: Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Key Laboratory of Infrastructure Durability and Operation Safety in Airfield of CAAC, Tongji University, Shanghai 200092, China
Yaqi Zheng: Taizhou Airport Investment Development Co., Ltd., Taizhou 317700, China
Xindong Zhao: Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Key Laboratory of Infrastructure Durability and Operation Safety in Airfield of CAAC, Tongji University, Shanghai 200092, China
Le Liu: Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Key Laboratory of Infrastructure Durability and Operation Safety in Airfield of CAAC, Tongji University, Shanghai 200092, China

Sustainability, 2023, vol. 15, issue 10, 1-23

Abstract: Thickness detection of concrete pavement is a critical step in construction completion acceptance and serves as an important metric for subsequent pavement performance evaluations. The crux of thickness evaluation lies in determining the interface reflection echo propagation sound time. Based on the acoustic impedance difference between the surface layer and contact layer, pavement can be classified into two types: large-difference and small-difference. By examining the singularity of the detection signal, we employed the improved correlation coefficient method and the wavelet transform maximum value method to identify the interface reflection echo sound time. This study refines the traditional correlation coefficient method by using the surface direct wave as the reference signal, simplifying the signal analysis process. In actual detection, for the type of concrete pavement with large differences in acoustic impedance, the average relative error between the improved correlation coefficient method and the core drilling method can be reduced to 1.7%; for the type with small differences, the average relative error of the detection results obtained using the wavelet transform modulus maximum method can be reduced to 1.9%, showcasing high accuracy.

Keywords: ultrasonic array; concrete pavement; thickness detection; signal processing (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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