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A mathematical programming model for solving cost-safety optimization (CSO) problems in the maintenance of structures

  • Structural Engineering
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Abstract

Cost-Safety tradeoff analysis is one of the most challenging tasks of structural maintenance. Undoubtedly, developing an economic and efficient schedule for structural maintenance and rehabilitation is highly acknowledged. While meta-heuristic optimization algorithms have been used widely to determine the best maintenance strategies to provide more economical structures, we present a mathematical programming model to overcome the limitations of previous studies. In this paper a Mixed Integer Non-linear Programming (MINLP) has been presented to find the optimal time of applying maintenance intervention in a deteriorating structure. While, considering the time value of money, postponing the maintenance actions will be more economic, this postponement may cause a decrease in the safety of structures. Due to this contradictory relation between the objectives, it is vital to find a reasonable trade-off between cost-safety. Our proposed approach considers different values of the discount rate of money. We apply our mathematical programming model to solve two optimization examples, which are found in the structural maintenance literature. It is shown that our proposed model is able to determine the optimal time of applying maintenance intervention to the structures with less total life cycle cost, and higher level of safety.

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Authors and Affiliations

  1. University of Toronto, School of Civil Engineering, Toronto, Canada

    Sayed Madeh Piryonesi

  2. Dept. of Construction Engineering and Management, School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran

    Sayed Madeh Piryonesi & Mehdi Tavakolan

Authors
  1. Sayed Madeh Piryonesi
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  2. Mehdi Tavakolan
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Correspondence to Mehdi Tavakolan.

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Piryonesi, S.M., Tavakolan, M. A mathematical programming model for solving cost-safety optimization (CSO) problems in the maintenance of structures. KSCE J Civ Eng 21, 2226–2234 (2017). https://doi.org/10.1007/s12205-017-0531-z

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  • DOI: https://doi.org/10.1007/s12205-017-0531-z

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