A new approach to programming maintenance activities for concrete bridge decks

G. Morcous, Z. Lounis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper presents an approach to programming maintenance alternatives for a network of concrete bridge decks using genetic algorithms and Markovian performance prediction models. Genetic algorithms are robust and stochastic optimization techniques that overcome the mathematical complications and combinatorial explosion problems of the conventional optimization techniques. Markovian models are the state-of-the art stochastic models used in several maintenance management systems to predict the future condition for a network of infrastructure facilities. An illustrative example for finding the optimal maintenance alternatives of concrete bridge decks using field data is presented to demonstrate the fesability and capability of the proposed approach.

Original languageEnglish (US)
Title of host publicationCSCE 31st Annual Conf. Proceedings
Subtitle of host publication2003 Building our Civilization - 5th Construc. Specialty Conf., 8th Environ. and Sustainable Eng. Specialty Conf. and Offshore Engineering Specialty Conference
Pages2043-2046
Number of pages4
StatePublished - 2003
EventCanadian Society for Civil Engineering - 31st Annual Conference: 2003 Building our Civilization - Moncton, NB, Canada
Duration: Jun 4 2003Jun 7 2003

Publication series

NameProceedings, Annual Conference - Canadian Society for Civil Engineering
Volume2003

Conference

ConferenceCanadian Society for Civil Engineering - 31st Annual Conference: 2003 Building our Civilization
CountryCanada
CityMoncton, NB
Period6/4/036/7/03

ASJC Scopus subject areas

  • Engineering(all)

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