• DocumentCode
    3354766
  • Title

    Multi-objective optimization to the maintenance plan of bridge concrete structure based on Life Cycle Cost

  • Author

    Liming, Han ; Zhihong, Qie ; Xinmiao, Wu ; Lei, Liu ; Wenchao, Zheng

  • Author_Institution
    Urban & Rural Constr. Coll., Agric. Univ. of Hebei, Baoding, China
  • fYear
    2010
  • fDate
    26-28 June 2010
  • Firstpage
    5070
  • Lastpage
    5073
  • Abstract
    In this paper, A new method basing on the Life Cycle Cost(LCC) theory is introduced to optimize concrete bridge maintenance plan. Taking concrete structure of bridge as example and considering various factors, such as external environment, load and structure material,deterioration process of bridge structure is analyzed and predicted. In addition, multi-objective optimization model with maintenance method of the structures and the corresponding time interval as optimization variables, while minimization of LCC and deterioration rate and maximization of service life as optimization objectives is put forward. The improved NSGA-II (GNSGA-II) is adopted to solve the optimization model. Both for maintenance management to completed projects and formulation of maintenance plan to new project, this model can make cost analysis and optimization for effective utilization and saving social fund.
  • Keywords
    bridges (structures); concrete; life cycle costing; maintenance engineering; optimisation; GNSGA-II; bridge concrete structure; bridge structure; concrete bridge maintenance plan; deterioration process; deterioration rate; external environment; life cycle cost theory; load; maintenance management; minimization; multiobjective optimization model; service life; structure material; Bridges; Concrete; Cost function; DNA; Design optimization; Educational institutions; Optimization methods; Sorting; Strontium; Water resources; Bridge; Genetic Arithmetic; Life cycle cost; Multi-Objective Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7737-1
  • Type

    conf

  • DOI
    10.1109/MACE.2010.5535973
  • Filename
    5535973