Infrared Thermography Data Analysis Method For Concrete Bridge Condition Evaluation
Abstract
This paper investigates the effects of the size and shape of delamination on subsurface defect detection by IRT through FE modeling to enhance the reliability and applicability of IRT. It is observed that the temperature difference (∆T) between a sound area and a delaminated one increases as the size of delamination increases; however, ∆T converges to a certain value when the area approaches 40 cm × 40 cm and a 1 cm thickness. It can be concluded for the shape of delamination that if the aspect ratio for the delamination, which is the ratio of the shorter side length to that of the longer side, is more than 25%, the ∆T of any delamination converges to ∆T of a square-shaped delamination of the same area. If the aspect ratio is 25% or smaller, ∆T is smaller than that of a square-shaped delamination with the same area, and will continue to decrease as the ratio decreases. Based on these findings, this study also investigated the possibility of estimating delamination depth using passive IRT by comparing ∆T from IRT data to ∆T at several depths obtained from FE model simulations. Through an investigation using IRT data from a real bridge deck scanning, this study validated that the estimation method could provide accurate delamination depth by utilizing IRT together with FE modeling.
Publication Date
1-1-2017
Publication Title
SHMII 2017 - 8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, Proceedings
Number of Pages
324-333
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
85050127028 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85050127028
STARS Citation
Hiasa, S. and Catbas, F. N., "Infrared Thermography Data Analysis Method For Concrete Bridge Condition Evaluation" (2017). Scopus Export 2015-2019. 7149.
https://stars.library.ucf.edu/scopus2015/7149