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통계적 패턴 인식 기술을 이용한 교량의 실시간 손상평가 기술 개발

Development of real-time damage assessment technology of bridge using statistical pattern recognition technology

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한국구조물진단유지관리공학회 (The Korea Institute For Structural Maintenance and Inspection)
초록

In this paper, real-time damage assessment technology was developed for detection the damage of bridges in real time and the performance of the developed technology was verified by vibration test. Real-time damage assessment technology was developed by combining statistical pattern recognition technology and simulation technology. In order to verify the developed technology, the earthquake response acquisition experiment was conducted according to the cable damage of the model cable-stayed bridge. As a result, it was confirmed that the developed real-time damage assessment technology can provide information on the location of damaged cable.

목차
Abstract
 1. 서 론
 2. 실시간 손상평가 기술 개발
 3. 실시간 손상평가 기술 성능검증 실험
 4. 결 론
 참고문헌
저자
  • 허광희(건양대학교 해외건설플랜트학과) | Heo GwangHee
  • 김충길(건양대학교 해외건설플랜트학과) | Kim ChungGil 교신저자
  • 방건혁((사)한국스마트구조시스템연구원) | Bang GeonHyeok
  • 김용석(건양대학교 의료IT공학과) | Kim YongSuk
  • 고병찬(건양대학교 건설환경공학과) | Ko ByeongChan