The Model to Generate Optimum Maintenance Scenario for Steel Bridges considering Life-Cycle Cost and Performance

강교량의 최적 유지관리 시나리오 선정 모델

  • 박경훈 (한국건설기술연구원 구조연구부) ;
  • 이상윤 (한국건설기술연구원 구조연구부) ;
  • 김정호 (한국건설기술연구원 구조연구부) ;
  • 조효남 (한양대학교 토목환경공학과) ;
  • 공정식 (고려대학교 사회환경시스템공학과)
  • Received : 2006.07.14
  • Accepted : 2006.11.21
  • Published : 2006.12.27

Abstract

In this paper, a more practical and realistic method is proposed to establish the lifetime optimum maintenance strategies of the deteriorating bridges considering the life-cycle performance as well as life-cycle cost. The genetic algorithm is applied to generate the set of maintenance scenarios that is the multi-objective combinatorial optimization problem related to lifetime performance and cost as separate objective functions, and the technique to select optimum tradeoff maintenance scenario is presented. Optimum maintenance scenarios could be generated not only at the individual member level but also at the system level of the bridge. Through the analytical results of applying the proposed methodology to the existing bridge, it is expected that the methodology will be effectively used to determine the optimum maintenance strategy for introducing a real preventive maintenance system and overcoming the limits of existing maintenance methods.

Acknowledgement

Grant : 강교량의 최적설계와 경제적 유지관리를 위한 Life-Cycle Cost

Supported by : 건설교통부/한국건설교통기술평가원

References

  1. 건설교통부/한국시설안전기술공단(2000) 도로교의 공용수명 연장방안 연구, 건설교통부
  2. 건설교통부/한국시설안전기술공단(2003) 안전점검 및 정밀안전 진단 세부지침(교량), 건설교통부
  3. 박경훈, 공정식, 황윤국, 조효남(2006) 생애주기 성능 및 비용에 기초한 교량 유지관리기법 개발, 대한토목학회논문집, 대한토목학회, 제26권, 제6A호, pp.1023-1032
  4. 박승현, 김성훈, 임종권, 박경훈, 공정식(2006) Response Surface 방법에 의한 보수보강 정량화 모델, 한국전산구조 공학회 학술대회논문집, 제19권1호, pp.557-564
  5. 한국건설기술연구원(1999) 98 교량관리체계(BMS) 개선에 관 한 연구, 건설교통부
  6. 한국건설기술연구원(2006) 강교량의 최적설계와 경제적 유지관 리를 위한 생애주기비용 분석 기법 및 시스템 개발, 건설교 통부/한국건설교통기술평가원 연구보고서
  7. Furuta, H., Kameda, T., Fkuda, Y. and Fangopol, D. M. (2004) Life-cycle cost analysis for infrastructure systems: Life Cycle cost vs. safety level vs. service life, Life-cycle performance of deteriorating structures: Assessment, design and management, ASCE, Reston, Virginia., 19-25
  8. Kong, J. S. and Frangopol, D. M. (2001) MLTR User's Manual - A program to analyze the effects of MuLTiple actions on Reliability profiles of groups of deteriorating structures, Department of Civil, Environmental, and Architectural Engineering, University of Colorado, Boulder, Colorado
  9. Liu, M. and Frangopol, D. M. (2004) Optimal bridge maintenance planning based on probabilistic performance prediction, Journal of Structural Engineering, ASCE. 26, 991-1002
  10. Liu, M. and Frangopol, D. M. (2005) Multiobjective maintenance planning optimization for deteriorating bridges considering condition, safety, and life-cycle cost. Journal of Structural Engineering, ASCE, 131(5), 833-842 https://doi.org/10.1061/(ASCE)0733-9445(2005)131:5(833)
  11. Marler and Arora (2004) Survey of multi-objective optimization methods for engineering, Struct. Multidisc Optim, 26, 369-395 https://doi.org/10.1007/s00158-003-0368-6
  12. Miyamoto, A., Kawamura, K. and Nakamura, H. (2000) Bridge management system and maintenance optimization for existing bridges. Computer Aided Civil Infrastructure Engineering, 15(1), 45-55. https://doi.org/10.1111/0885-9507.00170
  13. Thompson, P. D., Small, E. P., Johnson, M. and Marshall, A. R. (1998) The Pontis bridge management system, Structural Engineering Institute, Zurich, 8(4), 303-308 https://doi.org/10.2749/101686698780488758