Comparing the use of artificial neural networks and case-based reasoning in modeling bridge deterioration

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

3 Scopus citations

Abstract

Bridge Management Systems (BMSs) have been developed to optimize maintenance, rehabilitation, and replacement decisions for bridge networks under budget constraints. The success of these systems depends greatly on their ability to predict the future condition of bridges/bridge components in an accurate and timely fashion. Current BMSs employ deterioration models, such as regression models and Markovian models, for that purpose. Since the late 1990's, artificial intelligence approaches, such as Artificial Neural Networks (ANNs) and Case-Based Reasoning (CBR) have been proposed to develop deterioration models that eliminate the limitations of existing models based on their ability to learn from data and to model complex relationships. In this paper, a comparison of using ANNs and CBR in modeling bridge deterioration is carried out using bridge deck data obtained from the Ministry of Transportation of Quebec. The objective of this comparison is to determine the pros and cons of the two approaches and to guide transportation agencies in selecting the approach that best suits their needs.

Original languageEnglish (US)
Title of host publicationCSCE 30th Annual Conference Proceedings
Subtitle of host publication2002 Challenges Ahead - 4th Structural Specialty Conference, 4th Transportation Specialty Conference and 2nd material Specialty Conference
Pages2471-2479
Number of pages9
StatePublished - 2002
EventCanadian Society for Civil Engineering - 30th Annual Conference: 2002 Chellenges Ahead - Montreal, QB, Canada
Duration: Jun 5 2002Jun 8 2002

Publication series

NameProceedings, Annual Conference - Canadian Society for Civil Engineering
Volume2002

Conference

ConferenceCanadian Society for Civil Engineering - 30th Annual Conference: 2002 Chellenges Ahead
CountryCanada
CityMontreal, QB
Period6/5/026/8/02

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Morcous, G. (2002). Comparing the use of artificial neural networks and case-based reasoning in modeling bridge deterioration. In CSCE 30th Annual Conference Proceedings: 2002 Challenges Ahead - 4th Structural Specialty Conference, 4th Transportation Specialty Conference and 2nd material Specialty Conference (pp. 2471-2479). (Proceedings, Annual Conference - Canadian Society for Civil Engineering; Vol. 2002).