DOI QR코드

DOI QR Code

Analysis of Discriminant Accuracy of Estimated Load Carrying Capacity in Bridges

교량 추정 내하율 판별 정확도 분석

  • Kyu San Jung (Department of Structural Engineering Research, Korea Institute of Civil Engineering and Building Technology) ;
  • Dong Woo Seo (Department of Structural Engineering Research, Korea Institute of Civil Engineering and Building Technology) ;
  • Byeong Cheol Kim (Department of Structural Engineering Research, Korea Institute of Civil Engineering and Building Technology) ;
  • Gun Soo Kim (Department of Structural Engineering Research, Korea Institute of Civil Engineering and Building Technology) ;
  • Ki Tae Park (Department of Structural Engineering Research, Korea Institute of Civil Engineering and Building Technology) ;
  • Woo Jong Kim (Strategic Planning Team, Ailys Frontier)
  • 정규산 (한국건설기술연구원 구조연구본부) ;
  • 서동우 (한국건설기술연구원 구조연구본부) ;
  • 김병철 (한국건설기술연구원 구조연구본부) ;
  • 김건수 (한국건설기술연구원 구조연구본부) ;
  • 박기태 (한국건설기술연구원 구조연구본부) ;
  • 김우종 (아일리스프런티어(주) 전략기획팀)
  • Received : 2023.12.13
  • Accepted : 2023.12.18
  • Published : 2023.12.31

Abstract

This paper presents the results of an analysis of the discrimination accuracy of a bridge load carrying capacity estimation model based on data from inspection reports. The load carrying rate estimation model was derived using statistical methods through the collection of 2,161 inspection reports. By entering the bridge specifications and maintenance information, you can check the estimated load carrying capacity of the bridge. In order to verify the discrimination accuracy of the estimated load carrying rate model, the estimated load carrying rate was compared with the load carrying rate in the inspection and diagnosis report for 164 public bridges for which data was available. Although there are differences depending on the bridge type, the results were obtained with an accuracy of over 80% in determining the estimated load carrying capacity.

본 논문은 점검진단 보고서의 데이터에 기반한 교량의 내하율 추정 모델의 판별 정확도 분석 결과를 보여준다. 내하율 추정 모델은 2,161건의 점검진단 보고서 수집을 통해, 통계적 방법에 의해 도출하였다. 교량의 제원 및 유지관리 정보를 입력하면 해당 교량의 추정된 내하율을 확인할 수 있다. 추정 내하율 모델의 판별 정확도를 검증하기 위하여, 데이터 확보가 되어 있는 공용중 교량 164개소에 대해 추정 내하율과 점검진단 보고서 상의 내하율을 비교하였다. 교량 형식별로 차이가 있지만 추정 내하율 판별 정확도 80% 이상의 결과를 도출하였다.

Keywords

Acknowledgement

Research for this paper was carried out under the Korea Institute of Civil Engineering and Building Technology (KICT) Research Program (project no. 20230073-001, Development of DNA-based smart maintenance platform and application technologies for aging bridges) funded by the Ministry of Science and ICT.

References

  1. Chai, Won Kyu and Myeong Gu Lee. (2012). The Relationship between the Load Carrying Capacity and Transformed Impact Factor of Highway Bridge. Journal of the Korean Society of Safety. 27(6): 138-143.
  2. Cho, Soo Jin, Jin Hak Yi, Chang Geun Lee, and Chung Bang Yun. (2007). Evaluation of Load Carrying Capacity of Bridges Using Ambient Vibration Tests. KSCE Journal of Civil and Environmental Engineering Research. 27(1): 79-89.
  3. Jung, Kyu San, Dong Woo Seo, Jae Hwan Kim, Kun Soo Kim, Ki Tae Park, and Woo Jong Kim. (2023). Correlation Analysis between Safety Evaluation Indices and Load Carrying Capacity in Bridges. Journal of Korean Society of Disaster and Security. 16(3): 27-34.
  4. Lee, Hu Seok, Hwa Sung Roh, and Kyung Hoon Park. (2016). Load Carrying Capacity Evaluation of Single Span Bridge Using Impact Factor Response Spectrum. Journal of the Korea Academia-Industrial Cooperation Society. 17(12): 730-736.
  5. Ministry of Land, Infrastructure and Transport. (2021). Special Act on the Safety Control and Maintenance of Establishments. Korea Law Translation Center. Sejong: MOLIT.
  6. Shin, Soo Bong, In Yeol Paik, Do Hyoung Shin, and Sung Han Sim. (2018). Development of Reliability Based Assessment Technology for Load-Bearing Capacity and Multi-Data-Based Bridge Performance Assessment Technology. Magazine of the Korea Concrete Institute. 30(4): 32-37.