Quantitative Evaluation of Internal Pavement Distresses Based on 3D Ground Penetrating Radar

Asphalt pavement will inevitably produce internal distresses during service, which increases the risk of deterioration of pavement structural performance. Although three- dimensional ground penetrating radar (3D GPR) with a multi-channel antenna array can detect the internal structural condition of asphalt pavement non-destructively and quickly, there is currently a lack of effective evaluation index and standard. In this paper, 3D GPR was used to investigate four typical internal distresses of existing asphalt pavement in Guangzhou- Shaoguan Expressway, including cracks, loose, cavities, and poor interlayer bonding. In particular, GprMax software was used to establish the quantitative relationship between base crack width and radar images. Based on the radar image characteristics of different internal distresses, the distresses at the asphalt layer, base, and subbase were identified and statistically analysed. Pavement internal condition index (PICI) was proposed to quantitatively assess the internal distress condition of asphalt pavement. The results show that the PICI based on 3D GPR is reliable for evaluating the internal distress condition of pavement structure, and can be used as an important supplementary part of pavement structural integrity evaluation. The evaluation results can provide a reference for asphalt pavement maintenance decision.

Authors

Institutions

Publication Details

Journal
The Baltic Journal of Road and Bridge Engineering
Published
2025-03-28
DOI
https://doi.org/10.7250/bjrbe.2025-20.653
Citations
5
Primary Topic
Geophysical Methods and Applications
Type
article
Field-Weighted Citation Impact
5.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantitative Evaluation of Internal Pavement Distresses Based on 3D Ground Penetrating Radar

Yunsheng Zhu, Zhiwen Zhang, Kaifeng Wang, Yong Liu et al.
5 citations
The Baltic Journal of Road and Bridge Engineering
Geophysical Methods and Applications
5.73
article

Quantitative Evaluation of Internal Pavement Distresses Based on 3D Ground Penetrating Radar

Yunsheng Zhu, Zhiwen Zhang, Kaifeng Wang, Yong Liu, Yang Yuan
article en
5 citations

Abstract

Asphalt pavement will inevitably produce internal distresses during service, which increases the risk of deterioration of pavement structural performance. Although three- dimensional ground penetrating radar (3D GPR) with a multi-channel antenna array can detect the internal structural condition of asphalt pavement non-destructively and quickly, there is currently a lack of effective evaluation index and standard. In this paper, 3D GPR was used to investigate four typical internal distresses of existing asphalt pavement in Guangzhou- Shaoguan Expressway, including cracks, loose, cavities, and poor interlayer bonding. In particular, GprMax software was used to establish the quantitative relationship between base crack width and radar images. Based on the radar image characteristics of different internal distresses, the distresses at the asphalt layer, base, and subbase were identified and statistically analysed. Pavement internal condition index (PICI) was proposed to quantitatively assess the internal distress condition of asphalt pavement. The results show that the PICI based on 3D GPR is reliable for evaluating the internal distress condition of pavement structure, and can be used as an important supplementary part of pavement structural integrity evaluation. The evaluation results can provide a reference for asphalt pavement maintenance decision.

The Baltic Journal of Road and Bridge EngineeringVol. 20(1)
Wuhan University of Technology (CN), Detection Limit (United States) (US)
Openalex Percentile: Top 5%
Geophysical Methods and Applications
5.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Quantitative Evaluation of Internal Pavement Distresses Based on 3D Ground Penetrating Radar — Yunsheng Zhu, Zhiwen Zhang, et al. · The Baltic Journal of Road and Bridge Engineering (2025) | TGRS Research Map | TGRS