Pregled bibliografske jedinice broj: 991749
Defect detection in concrete using principle component thermography
Defect detection in concrete using principle component thermography // Proceedings of the International Conference on Sustainable Materials, Systems and Structures (SMSS2019) Novel Methods for Characterization of Materials and Structures / Gabrijel, Ivan ; Grosse, Christian ; Skazlić, Marijan (ur.).
Pariz: RILEM Publications SARL, 2019. str. 201-208 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Defect detection in concrete using principle component thermography
Autori
Milovanović, Bojan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the International Conference on Sustainable Materials, Systems and Structures (SMSS2019) Novel Methods for Characterization of Materials and Structures
/ Gabrijel, Ivan ; Grosse, Christian ; Skazlić, Marijan - Pariz : RILEM Publications SARL, 2019, 201-208
ISBN
978-2-35158-217-6
Skup
International Conference on Sustainable Materials, Systems and Structures (SMSS2019)
Mjesto i datum
Rovinj, Hrvatska, 18.03.2019. - 22.03.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Nondestructive testing, Infrared thermography, Principle component analysis, Reinforced concrete, defect detection
Sažetak
In order to increase the service life of structures, Nondestructive Testing (NDT) methods are being used as an important characterization tool. Usually, two issues are relevant when inspecting concrete structures using NDT. The first one being the detection of defects, while the second issue is to reliably estimate the defect parameters like size and depth. The aim of this paper is to enhance the defect detection capability of Infrared Thermography (IRT) in concrete, where cooling down IRT will be used to identify subsurface defects. Defect/non-defect contrast for smaller and/or deeper defects will be increased using Principle component thermography (PCT) on data acquired using active thermography technique. As a statistical analysis tool Principal Component Analysis (PCA) is being used for identifying patterns in data and expressing the data in a manner which allows to accentuate the similarities and differences in patterns. PCA applied to the data in the form of thermogram sequence is called principal component thermography (PCT) where the results of the PCT are given as empirical orthogonal functions (EOF). The presented research proved that by using PCT proposed approach, one can significantly enhance the contrast of the defective area in concrete also for small and thin defects.
Izvorni jezik
Engleski
Znanstvena područja
Građevinarstvo
