| Issue |
E3S Web Conf.
Volume 723, 2026
2026 International Conference on Artificial Intelligence in Energy and Infrastructure (AIEI 2026)
|
|
|---|---|---|
| Article Number | 04009 | |
| Number of page(s) | 7 | |
| Section | Intelligent Infrastructure, Iot, Robotics & Sustainable Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202672304009 | |
| Published online | 08 July 2026 | |
Review: Thermal data acquisition for 3D cracks characterization and experiment
1 Smart Structural Health Monitoring and Control Laboratory, DGUT-CNAM, Dongguan University of Technology, D1, Daxue Rd., Songshan Lake, Dongguan, Guangdong Province, P.R. China
2 DGUT-CNAM Institute, Dongguan University of Technology, D1, Daxue Rd., Songshan Lake, Dongguan, Guangdong Province, P.R. China
3 ENS -Paris-Saclay University, Centre Borelli, UMR CNRS 9010, 91190 Gif-sur-Yvette, france
* e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
3D crack detection are essential in civil infrastructure since is one of a major challenges for material and structural integrity inspections. This study considers the importance of using thermal data as a non-destructive method to analyze crack evolution and characteristics. This study aims to determine in which measure thermal data enable building reliable 3D information of internal defects. Experiment approach combining Infrared Thermography (IRT) and data processing methods have shown that thermal variations allow to identify presence of cracks. Some limitations remain in terms of spatial resolution and depth. This study emphasizes the potential of thermography methods for 3D cracks characterization, while insuring the necessity to improve inspection methods.
Key words: thermal data acquisition / 3D crack / crack characterization method
© The Authors, published by EDP Sciences, 2026
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