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Principle component thermography for defect detection in reinforced concrete structures


Milovanovic, Bojan; Banjad Pečur, Ivana
Principle component thermography for defect detection in reinforced concrete structures // Advances in Cement and Concrete Technology in Africa, Proceedings 2nd International Conference Dar es Salaam, Tanzania / Schmidt, Wolfram ; Msinjili, Nsesheye Susan (ur.).
Berlin, Germany: BAM Federal Institute for Materials Research and Testing, 2016. str. 217-226 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Principle component thermography for defect detection in reinforced concrete structures

Autori
Milovanovic, Bojan ; Banjad Pečur, Ivana

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Advances in Cement and Concrete Technology in Africa, Proceedings 2nd International Conference Dar es Salaam, Tanzania / Schmidt, Wolfram ; Msinjili, Nsesheye Susan - Berlin, Germany : BAM Federal Institute for Materials Research and Testing, 2016, 217-226

ISBN
978-3-9817502-3-2

Skup
Advances in Cement and Concrete Technology in Africa

Mjesto i datum
Dar es Salaam, Tanzanija, January 27 -29 2016

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Nondestructive testing; Infrared thermography; Principle component analysis; Reinforced concrete; defect detection

Sažetak
Non-destructive Testing (NDT) is an important tool to increase the service life of critical structures. Compared to other NDT methods, Infrared Thermography (IRT) is an attractive method because it is a non-contact technique, and it has full-field defect imaging capability. Typically, two problems are relevant in the domain of NDT of structures. The first problem deals with the detection of defects, while the second problem is based on estimating the defect parameters like size and depth. This paper aims at enhancing the capability of defect detection of IRT in reinforced concrete structures. Cooling down thermography can be used to identify subsurface structural deficiencies. Defect detection and quantification is rarely a straightforward procedure because of all the signal degradation sources. Pre-processing by traditional image enhancement techniques may help to increase defect/non-defect contrast. However, more sophisticated techniques are often required. In this paper, detection of defects was performed using active thermography technique called Principle component thermography (PCT). Principal Component Analysis (PCA) is a statistical analysis tool used for identifying patterns in data and expressing the data in a way to highlight the similarities and differences in patterns. PCA applied to the data in the form of thermogram sequence is called PCT. Results of the PCT are empirical orthogonal functions (EOF) constructed from a set of orthogonal statistical modes that provide the strongest projection for the analysed data. The results of the research conducted by using PCT proved that proposed approach significantly enhances the defective area contrast against the background in the field of reinforced concrete.

Izvorni jezik
Engleski

Znanstvena područja
Građevinarstvo



POVEZANOST RADA


Ustanove
Građevinski fakultet, Zagreb