Application of the Principal Component Analysis to Evaluate Concrete Condition Using Impact Resonance Test 


Vol. 34,  No. 5, pp. 95-102, Oct.  2019
10.14346/JKOSOS.2019.34.5.95


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  Abstract

Non-destructive methods such as rebound hardness method and ultrasonic method are widely studied for evaluating the physical properties, condition and damage of concrete, but are not suitable for detecting delamination and cracks near the surface due to various constraints of the site as well as the accuracy. Therefore, in this study, the impact resonance method was applied to detect the separation cracks occurring near the surface of the concrete slab and bridge deck. As a next step, the principal component analysis were performed by extracting various features using the FFT data. As a result of principal component analysis, it was analyzed that the reliability was high in distinguishing defects in concrete. This feature extraction and application of principal component analysis can be used as basic data for future use of machine learning technique for the better accuracy.

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  Cite this article

[IEEE Style]

윤영근 and 오태근, "Application of the Principal Component Analysis to Evaluate Concrete Condition Using Impact Resonance Test," Journal of the Korean Society of Safety, vol. 34, no. 5, pp. 95-102, 2019. DOI: 10.14346/JKOSOS.2019.34.5.95.

[ACM Style]

윤영근 and 오태근. 2019. Application of the Principal Component Analysis to Evaluate Concrete Condition Using Impact Resonance Test. Journal of the Korean Society of Safety, 34, 5, (2019), 95-102. DOI: 10.14346/JKOSOS.2019.34.5.95.

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