Integration of stochastic deterioration models with multicriteria decision theory for optimizing maintenance of bridge decks

George Morcous, Zoubir Lounis

Research output: Contribution to journalArticle

6 Scopus citations

Abstract

This paper presents a new approach to optimizing the maintenance of concrete bridge decks. This approach combines a stochastic deterioration model and a multiobjective optimization model. The stochastic deterioration model is based on the first-order Markov chain, which predicts the probabilistic time variation of bridge deck conditions. The multiobjective optimization model takes into account two important and conflicting criteria: the minimization of maintenance costs and the maximization of the network condition. This approach achieves the best compromise between these competing criteria while considering the uncertainty in bridge deck deterioration. The feasibility and capability of the proposed approach are demonstrated with field data for a sample network of bridge decks obtained from the Ministère des Transports du Québec database. This example illustrates the effectiveness of the proposed approach in determining the optimal set of maintenance alternatives for reinforced concrete bridge decks when two or more relevant optimization criteria are taken into consideration.

Original languageEnglish (US)
Pages (from-to)756-765
Number of pages10
JournalCanadian journal of civil engineering
Volume33
Issue number6
DOIs
StatePublished - Jun 2006

Keywords

  • Concrete bridge deck
  • Deterioration model
  • Maintenance management
  • Markov chain
  • Multicriteria optimization

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Environmental Science(all)

Fingerprint Dive into the research topics of 'Integration of stochastic deterioration models with multicriteria decision theory for optimizing maintenance of bridge decks'. Together they form a unique fingerprint.

  • Cite this