KSCE Journal of Civil and Environmental Engineering Research (대한토목학회논문집)

Korean Society of Civil Engeneers (대한토목학회)
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Development of Defect-Repair Method-Cost Mapping Algorithm of Concrete Bridge Using BMS Data

BMS 데이터를 활용한 콘크리트 교량의 결함-공법-비용 매핑 알고리즘 개발

  • Lee, Changjun (Korea Institute of Civil Engineering and Building Technology) ;
  • Park, Wonyoung (Korea Institute of Civil Engineering and Building Technology) ;
  • Cha, Yongwoon (Korea Institute of Civil Engineering and Building Technology) ;
  • Jang, Young-Hoon (Korea Institute of Civil Engineering and Building Technology) ;
  • Park, Taeil (Korea Institute of Civil Engineering and Building Technology)
  • 이창준 (한국건설기술연구원 건설정책연구소) ;
  • 박원영 (한국건설기술연구원 건설정책연구소) ;
  • 차용운 (한국건설기술연구원 건설정책연구소) ;
  • 장영훈 (한국건설기술연구원 건설정책연구소) ;
  • 박태일 (한국건설기술연구원 건설정책연구소)
  • Received : 2022.12.21
  • Accepted : 2023.01.31
  • Published : 2023.04.01
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Abstract

As aged infrastructures have been increased, the importance of accurate maintenance costs and proper budget allocation for infrastructure become prominent under limited resources. This study proposed a mapping algorithm between representative defects, repair methods, and the estimated maintenance costs for concrete bridges. In this regard, using BMS (Bridge Management System) data analysis, bridge repair methods were classified and matched with defects according to their locations, types, and sizes. In addition, the maintenance costs were estimated based on the amount of work-load and quantity per unit using CSPR (Cost Standard Production Rate). As a result, the level of accuracy was an average of 85.1 % compared with the actual bill of quantity for Seoul bridge maintenance. The accuracy of maintenance costs is expected to be enhanced by considering the various site conditions such as pier height, extra charge conditions, additional equipment, etc.

최근 30년 이상 노후화된 국내 인프라의 증가로 한정된 예산 내에서 인프라 유지관리를 위한 정확한 유지관리 비용산출과 그에 따른 적절한 예산분배의 중요성이 증대되고 있다. 이에 본 연구에서는 콘크리트 교량의 대표적인 결함과 이에 대한 보수보강 공법들을 매칭하고 유지보수에 필요한 비용을 산정하였다. 표준품셈과 BMS (Bridge Management System) 데이터 분석을 통해 교량의 보수보강 공법을 분류하였으며, 결함의 위치와 종류, 크기에 따라 결함-공법을 매칭하였다. 그리고 표준품셈을 기준으로 단위당 작업량과 물량을 계산하여 노무비, 경비, 재료비를 구분하여 산출하였다. 서울시 교량 유지보수 내역서와 비교를 통해 평균 예측 정확도가 85.1 %가 나왔으며, 결함의 간단한 조건을 통해 유지보수 비용을 파악할 수 있다. 향후 현장 조건을 고려한 장비 및 야간작업 여부를 추가하여 더 높은 유지보수 비용을 파악할 수 있을 것으로 기대된다.

Keywords

Acknowledgement

본 연구는 과학기술정보통신부 한국건설기술연구원 연구운영비지원 (주요사업) 사업으로 수행되었습니다 (과제번호 20230079-001, 건설정책 및 건설관리 발전전략).

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