Technical Papers
Dec 7, 2020

Real-Time Thermal Imaging-Based System for Asphalt Pavement Surface Distress Inspection and 3D Crack Profiling

Publication: Journal of Performance of Constructed Facilities
Volume 35, Issue 1

Abstract

Infrared thermography is a cost-effective nonintrusive testing approach to assess surface and near-surface distresses, such as asphalt pavement surface cracks. However, the raw data collected by thermal cameras cannot be directly used for pavement surface distress inspection. Thus, advanced thermal image processing methods are desirable for extracting indicators of hidden flaws. The objective of this research was to develop an integrated system that combines infrared imaging, high-resolution visual imaging, real-time image processing, and data-rich analytics for automated inspection to support decision making for pavement preservative maintenance. This work developed a code that can integrate the characteristics captured by both thermal and visual images to provide a quantitative identification of the surface cracks and their severity. Field-test data were collected and a statistical analysis was conducted to correlate temperature gradient to the surface crack profile of asphalt pavement. It was found that the surface temperature distribution pattern has a direct correlation with pavement crack profile, and can be used as an indicator of crack depth. The proposed real-time thermal imaging-based system was found to be feasible for field inspection, and the three-dimensional (3D) crack profiling method can help produce fairly accurate measurements to enable fast and easy decision support for pavement preservation practices.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

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Go to Journal of Performance of Constructed Facilities
Journal of Performance of Constructed Facilities
Volume 35Issue 1February 2021

History

Received: Jul 12, 2019
Accepted: Sep 18, 2020
Published online: Dec 7, 2020
Published in print: Feb 1, 2021
Discussion open until: May 7, 2021

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Authors

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Graduate Research Assistant, Dept. of Civil Engineering, Boise State Univ., Boise, ID 83725-2060. ORCID: https://orcid.org/0000-0002-8704-3825. Email: [email protected]
Xingyu Gu, Ph.D. [email protected]
Professor, School of Transportation, Southeast Univ., Nanjing 211189, PR China. Email: [email protected]
Associate Professor, Dept. of Civil Engineering, Boise State Univ., 1910 University Dr., Boise, ID 83725-2060 (corresponding author). ORCID: https://orcid.org/0000-0003-2330-4237. Email: [email protected]

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