Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/108467
PIRA download icon_1.1View/Download Full Text
Title: Delamination characterization in thin asphalt pavement structure using dispersive GPR data
Authors: He, W 
Lai, WWL 
Sui, X 
Giannopoulos, A
Issue Date: 26-Oct-2023
Source: Construction and building materials, 26 Oct. 2023, v. 402, 132834
Abstract: Detection of delamination in asphalt pavement by non-destructive ground penetrating radar (GPR) is useful for effective maintenance and repair. However, limitations of GPR survey resolution and multiple wave interferences have made thin delamination layer characterization a challenging task in conventional common offset profiling (COP) mode. In this paper, a new method is proposed for characterizing delamination layers in asphalt pavement using the GPR waveguide dispersion model in a wide-angle reflection and refraction (WARR) configuration. The approach was validated through synthetic experiments and laboratory experiments using an asphalt pavement model. The results show that the cutoff frequencies of all modes are sensitive to air-filled delamination, while water-filled delamination leads to a significant decrease in the phase velocity of GPR waves. By observing these trends, we are able to detect delamination layers with 1 cm thickness and identify delamination layers with different properties. This new method can aid in the detection and identification of delamination layers in asphalt pavement structures.
Publisher: Elsevier BV
Journal: Construction and building materials 
ISSN: 0950-0618
DOI: 10.1016/j.conbuildmat.2023.132834
Rights: © 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
The following publication He, W., Wai-Lok Lai, W., Sui, X., & Giannopoulos, A. (2023). Delamination characterization in thin asphalt pavement structure using dispersive GPR data. Construction and Building Materials, 402, 132834 is available at https://doi.org/10.1016/j.conbuildmat.2023.132834.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
1-s2.0-S0950061823025503-main.pdf12.47 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

34
Citations as of Apr 14, 2025

Downloads

8
Citations as of Apr 14, 2025

SCOPUSTM   
Citations

8
Citations as of Aug 1, 2025

WEB OF SCIENCETM
Citations

3
Citations as of Nov 14, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.