Preliminary Study on Enhancing Detection of Concrete Bridge Surface Spalling by Infrared Thermography
Journal
Proceedings of the 41st International Symposium on Automation and Robotics in Construction
Start Page
1115
End Page
1119
ISSN
2413-5844
ISBN (of the container)
9780645832211
ISBN
9780645832211
Date Issued
2024-06-03
Author(s)
DOI
10.22260/ISARC2024/0144
Abstract
Regular inspections, effective management, and timely maintenance are critical issues to ensure bridge safety and quality. Currently, visual inspection remains the predominant method employed worldwide for bridge inspection. However, visual inspection heavily relies on the training, experience, and subjective judgment of inspectors, leading to inconsistent assessments. When applying deep learning techniques to assist in identifying bridge crack formations, challenges persist. Some images may not clearly display the crack's location. Infrared thermography, with its non-contact, non-destructive properties, effectively detects surface delamination in concrete bridges. However, most research employs higher-spec infrared thermography, which comes with higher instrument costs and less economic viability. Hence, this study aims to investigate the feasibility of using lower-spec infrared thermography to detect surface delamination in concrete bridges as well as analyze the potential of using lower-spec infrared thermography results to assist AI image recognition of bridge surface defects.
Event(s)
41st International Symposium on Automation and Robotics in Construction, ISARC 2024, Lille, 3 June 2024 through 5 June 2024. Code 201157
Subjects
AI Image Recognition
Bridge Inspection
Concrete Defects
Infrared Thermography
Passive Infrared Thermography technology
SDGs
Publisher
International Association for Automation and Robotics in Construction (IAARC)
Type
conference paper