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

충격공진을 이용한 콘크리트 상태 평가를 위한 주성분 분석의 적용

  • Yoon, Young Geun (Department of Safety Engineering, Incheon National University) ;
  • Oh, Tae Keun (Department of Safety Engineering, Incheon National University)
  • 윤영근 (인천대학교 안전공학과) ;
  • 오태근 (인천대학교 안전공학과)
  • Received : 2019.07.09
  • Accepted : 2019.08.07
  • Published : 2019.10.31


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.



Supported by : 한국연구재단, 주식회사 나다건설


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