Experimental And Numerical Studies For Suitable Infrared Thermography Implementation On Concrete Bridge Decks
Keywords
Bridge deck inspection; Data collection time; FE model simulation; Infrared thermography; Non-destructive evaluation
Abstract
Capturing the temperature difference between sound and defective parts under ambient conditions is key for infrared thermography (IRT) on concrete bridges. This study explores the favorable time windows for concrete bridge deck inspections by IRT through field experiment and finite element model simulations. Based on the numerical simulations and experimental IRT results, the preferable thermal contrast to detect defects occurs during both daytime and nighttime. However, available time span during daytime is much shorter than that of nighttime due to interchange periods between cooling and heating cycles in the morning and in the evening. Furthermore, IRT is affected by sunlight during the daytime resulting in possible misdetections. Moreover, effects of clouds and radiative cooling are observed, and it is found that the clear sky is a preferable condition for IRT. Therefore, optimal conditions for IRT implementation on concrete bridge decks can be concluded that nighttime application under the clear sky condition. In addition, the effect of obstacles on a bridge surface such as gravel, wood chips that bring additional challenges to IRT are also evaluated experimentally.
Publication Date
6-1-2018
Publication Title
Measurement: Journal of the International Measurement Confederation
Volume
121
Number of Pages
144-159
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1016/j.measurement.2018.02.019
Copyright Status
Unknown
Socpus ID
85043263249 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85043263249
STARS Citation
Hiasa, Shuhei; Birgul, Recep; Matsumoto, Masato; and Necati Catbas, F., "Experimental And Numerical Studies For Suitable Infrared Thermography Implementation On Concrete Bridge Decks" (2018). Scopus Export 2015-2019. 8700.
https://stars.library.ucf.edu/scopus2015/8700