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

Author:

Morcous George,Lounis Zoubir

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.Key words: concrete bridge deck, maintenance management, multicriteria optimization, Markov chain, deterioration model.

Publisher

Canadian Science Publishing

Subject

General Environmental Science,Civil and Structural Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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2. A vulnerability model for power system dynamic security assessment;International Journal of Electrical Power & Energy Systems;2014-11

3. Nonparametric Binary Recursive Partitioning for Deterioration Prediction of Infrastructure Elements;Advances in Civil Engineering;2009

4. Pareto Analysis for Multicriteria Optimization of Bridge Preservation Decisions;Transportation Research Record: Journal of the Transportation Research Board;2007-01

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