Rapid Detection Methods for Asphalt Pavement Thicknesses and Defects by a Vehicle-Mounted Ground Penetrating Radar (GPR) System

The thickness estimation of the top surface layer and surface layer, as well as the detection of road defects, are of great importance to the quality conditions of asphalt pavement. Although ground penetrating radar (GPR) methods have been widely used in non-destructive detection of pavements, the t...

Full description

Bibliographic Details
Main Authors: Zehua Dong, Shengbo Ye, Yunze Gao, Guangyou Fang, Xiaojuan Zhang, Zhongjun Xue, Tao Zhang
Format: Article
Language:English
Published: MDPI AG 2016-12-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/16/12/2067
_version_ 1811185224081473536
author Zehua Dong
Shengbo Ye
Yunze Gao
Guangyou Fang
Xiaojuan Zhang
Zhongjun Xue
Tao Zhang
author_facet Zehua Dong
Shengbo Ye
Yunze Gao
Guangyou Fang
Xiaojuan Zhang
Zhongjun Xue
Tao Zhang
author_sort Zehua Dong
collection DOAJ
description The thickness estimation of the top surface layer and surface layer, as well as the detection of road defects, are of great importance to the quality conditions of asphalt pavement. Although ground penetrating radar (GPR) methods have been widely used in non-destructive detection of pavements, the thickness estimation of the thin top surface layer is still a difficult problem due to the limitations of GPR resolution and the similar permittivity of asphalt sub-layers. Besides, the detection of some road defects, including inadequate compaction and delamination at interfaces, require further practical study. In this paper, a newly-developed vehicle-mounted GPR detection system is introduced. We used a horizontal high-pass filter and a modified layer localization method to extract the underground layers. Besides, according to lab experiments and simulation analysis, we proposed theoretical methods for detecting the degree of compaction and delamination at the interface, respectively. Moreover, a field test was carried out and the estimated results showed a satisfactory accuracy of the system and methods.
first_indexed 2024-04-11T13:25:45Z
format Article
id doaj.art-80a017ed917b415ea9b06f317c2b9efb
institution Directory Open Access Journal
issn 1424-8220
language English
last_indexed 2024-04-11T13:25:45Z
publishDate 2016-12-01
publisher MDPI AG
record_format Article
series Sensors
spelling doaj.art-80a017ed917b415ea9b06f317c2b9efb2022-12-22T04:22:04ZengMDPI AGSensors1424-82202016-12-011612206710.3390/s16122067s16122067Rapid Detection Methods for Asphalt Pavement Thicknesses and Defects by a Vehicle-Mounted Ground Penetrating Radar (GPR) SystemZehua Dong0Shengbo Ye1Yunze Gao2Guangyou Fang3Xiaojuan Zhang4Zhongjun Xue5Tao Zhang6Institute of Electronics, Chinese Academy of Science, Beijing 100190, ChinaInstitute of Electronics, Chinese Academy of Science, Beijing 100190, ChinaInstitute of Electronics, Chinese Academy of Science, Beijing 100190, ChinaInstitute of Electronics, Chinese Academy of Science, Beijing 100190, ChinaInstitute of Electronics, Chinese Academy of Science, Beijing 100190, ChinaBeijing Road Engineering Quality Supervision Station, Beijing 100076, ChinaBeijing Road Engineering Quality Supervision Station, Beijing 100076, ChinaThe thickness estimation of the top surface layer and surface layer, as well as the detection of road defects, are of great importance to the quality conditions of asphalt pavement. Although ground penetrating radar (GPR) methods have been widely used in non-destructive detection of pavements, the thickness estimation of the thin top surface layer is still a difficult problem due to the limitations of GPR resolution and the similar permittivity of asphalt sub-layers. Besides, the detection of some road defects, including inadequate compaction and delamination at interfaces, require further practical study. In this paper, a newly-developed vehicle-mounted GPR detection system is introduced. We used a horizontal high-pass filter and a modified layer localization method to extract the underground layers. Besides, according to lab experiments and simulation analysis, we proposed theoretical methods for detecting the degree of compaction and delamination at the interface, respectively. Moreover, a field test was carried out and the estimated results showed a satisfactory accuracy of the system and methods.http://www.mdpi.com/1424-8220/16/12/2067vehicle-mounted GPR systemasphalt layer thicknesstop surface asphalt layerlayer localization methoddegree of compactiondelamination at interfaces
spellingShingle Zehua Dong
Shengbo Ye
Yunze Gao
Guangyou Fang
Xiaojuan Zhang
Zhongjun Xue
Tao Zhang
Rapid Detection Methods for Asphalt Pavement Thicknesses and Defects by a Vehicle-Mounted Ground Penetrating Radar (GPR) System
Sensors
vehicle-mounted GPR system
asphalt layer thickness
top surface asphalt layer
layer localization method
degree of compaction
delamination at interfaces
title Rapid Detection Methods for Asphalt Pavement Thicknesses and Defects by a Vehicle-Mounted Ground Penetrating Radar (GPR) System
title_full Rapid Detection Methods for Asphalt Pavement Thicknesses and Defects by a Vehicle-Mounted Ground Penetrating Radar (GPR) System
title_fullStr Rapid Detection Methods for Asphalt Pavement Thicknesses and Defects by a Vehicle-Mounted Ground Penetrating Radar (GPR) System
title_full_unstemmed Rapid Detection Methods for Asphalt Pavement Thicknesses and Defects by a Vehicle-Mounted Ground Penetrating Radar (GPR) System
title_short Rapid Detection Methods for Asphalt Pavement Thicknesses and Defects by a Vehicle-Mounted Ground Penetrating Radar (GPR) System
title_sort rapid detection methods for asphalt pavement thicknesses and defects by a vehicle mounted ground penetrating radar gpr system
topic vehicle-mounted GPR system
asphalt layer thickness
top surface asphalt layer
layer localization method
degree of compaction
delamination at interfaces
url http://www.mdpi.com/1424-8220/16/12/2067
work_keys_str_mv AT zehuadong rapiddetectionmethodsforasphaltpavementthicknessesanddefectsbyavehiclemountedgroundpenetratingradargprsystem
AT shengboye rapiddetectionmethodsforasphaltpavementthicknessesanddefectsbyavehiclemountedgroundpenetratingradargprsystem
AT yunzegao rapiddetectionmethodsforasphaltpavementthicknessesanddefectsbyavehiclemountedgroundpenetratingradargprsystem
AT guangyoufang rapiddetectionmethodsforasphaltpavementthicknessesanddefectsbyavehiclemountedgroundpenetratingradargprsystem
AT xiaojuanzhang rapiddetectionmethodsforasphaltpavementthicknessesanddefectsbyavehiclemountedgroundpenetratingradargprsystem
AT zhongjunxue rapiddetectionmethodsforasphaltpavementthicknessesanddefectsbyavehiclemountedgroundpenetratingradargprsystem
AT taozhang rapiddetectionmethodsforasphaltpavementthicknessesanddefectsbyavehiclemountedgroundpenetratingradargprsystem