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Optimum maintenance scenario generation for existing steel-girder bridges based on lifetime performance and cost

  • Park, Kyung Hoon (Korea Institute of Construction Technology) ;
  • Lee, Sang Yoon (Korea Institute of Construction Technology) ;
  • Yoon, Jung Hyun (Department of Civil and Environmental Engineering, Hanyang University) ;
  • Cho, Hyo Nam (Department of Civil and Environmental Engineering, Hanyang University) ;
  • Kong, Jung Sik (Department of Civil, Environmental and Architectural Engineering, Korea University)
  • Received : 2007.06.05
  • Accepted : 2007.11.15
  • Published : 2008.09.25
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Abstract

This paper proposes a practical and realistic method to establish an optimal lifetime maintenance strategy for deteriorating bridges by considering the life-cycle performance as well as the life-cycle cost. The proposed method offers a set of optimal tradeoff maintenance scenarios among other conflicting objectives, such as minimizing cost and maximizing performance. A genetic algorithm is used to generate a set of maintenance scenarios that is a multi-objective combinatorial optimization problem related to the lifetime performance and the life-cycle cost as separate objective functions. A computer program, which generates optimal maintenance scenarios, was developed based on the proposed method using the life-cycle costs and the performance of bridges. The subordinate relation between bridge members has been considered to decide optimal maintenance sequence and a corresponding algorithm has been implemented into the program. The developed program has been used to present a procedure for finding an optimal maintenance scenario for steel-girder bridges on the Korean National Road. Through this bridge maintenance scenario analysis, it is expected that the developed method and program can be effectively used to allow bridge managers an optimal maintenance strategy satisfying various constraints and requirements.

Keywords

References

  1. Berthelot, C. F., Sparks, G. A., Blomme, T., Kajner, L. and Nickeson, M. (1996), "Mechanistic-probabilistic vehicle operating cost model", J. Transp. Eng., ASCE, 122(5), 337-341. https://doi.org/10.1061/(ASCE)0733-947X(1996)122:5(337)
  2. 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, Va. USA, 19-25.
  3. 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, USA.
  4. Kong, J. S. and Frangopol, D. M. (2005), "Probabilistic optimization of aging structures considering maintenance and failure costs", J. Struct. Eng., ASCE, 131(4), 600-616. https://doi.org/10.1061/(ASCE)0733-9445(2005)131:4(600)
  5. Korea Institute of Construction Technology (KICT) (1999), "Study on the improvement of bridge management system in year 1998", Ministry of Construction and Transportation (MOCT), Korea.
  6. Korea Institute of Construction Technology (KICT) (2006), "Development of life-cycle cost analysis method and system for the life-cycle cost optimum design and the life-time management of steel bridges", Research Report, Ministry of Construction and Transportation (MOCT) and Korea Institute of Construction and Transportation Technology Evaluation and Planning (KICTTEP).
  7. Liu, M. and Frangopol, D. M. (2004), "Optimal bridge maintenance planning based on probabilistic performance prediction", J. Struct. Eng., 26, 991-1002. https://doi.org/10.1016/j.engstruct.2004.03.003
  8. Liu, M. and Frangopol, D. M. (2005), "Multiobjective maintenance planning optimization for deteriorating bridges considering condition, safety, and life-cycle cost", J. Struct. Eng., 131(5), 833-842. https://doi.org/10.1061/(ASCE)0733-9445(2005)131:5(833)
  9. Ministry of Construction and Transportation (MOCT) and Korea Infrastructure Safety and Technology Corporation (KISTEC) (2000), Study on the extension of bridge life-cycle, Ministry of Construction and Transportation (MOCT), Korea.
  10. Ministry of Construction and Transportation (MOCT) and Korea Infrastructure Safety and Technology Corporation (KISTEC) (2003), Detailed guidelines for safety inspection and precise safety diagnosis (bridge), Ministry of Construction and Transportation (MOCT), Korea.
  11. Miyamoto, A., Kawamura, K. and Nakamura, H. (2000), "Bridge management system and maintenance optimization for existing bridges", Comput. Aid. Civ. Infrastr. Eng., 15(1), 45-55. https://doi.org/10.1111/0885-9507.00170
  12. Park, K. H. (2006), "Comprehensive framework of optimum management for steel-girder bridges based on lifecycle performance and cost", PhD thesis, Department of Civil and Environmental Engineering, Hanyang University, Seoul, Korea.
  13. Park, S. H., Kim, S. H., Lim, J. K., Park, K. H., and Kong, J. S. (2006), "Repair and reinforcement quantification model by response surface method", Korea Computational Structural Engineering Institute, 19(1), 557-564.
  14. 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

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