Case-based reasoning system for bridge management

George Morcous, Hugues Rivard, Adel Hanna

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

6 Scopus citations

Abstract

A bridge deterioration model is an integral part of any complete Bridge Management Systems (BMSs). Popular models, such as Markovian deterioration models, have some limitations that affect the reliability of predicting bridge future condition. A Case-Based Reasoning (CBR) approach is being investigated to provide BMSs with a deterioration model that eliminates the shortcomings of Markovian models. The proposed approach consists in the implementation of a framework for a generic case-based reasoning system in modeling infrastructure facility deterioration. This paper presents the design of that framework and focuses on its case and knowledge representation, case retrieval, and case adaptation aspects. A special emphasis will be given to techniques used for measuring case similarity and matching time-dependent attributes.

Original languageEnglish (US)
Title of host publicationComputing in Civil and Building Engineering
EditorsR. Fruchter, F. Pena-Mora, W.M.K. Roddis, R. Fruchter, F. Pena-Mora, W.M.K. Roddis
Pages1363-1370
Number of pages8
StatePublished - 2000
EventProceedings of the Eight International Conference on: Computing in Civil and Building Engineering - Stanford, CA, United States
Duration: Aug 14 2000Aug 16 2000

Publication series

NameComputing in Civil and Building Engineering
Volume2

Conference

ConferenceProceedings of the Eight International Conference on: Computing in Civil and Building Engineering
CountryUnited States
CityStanford, CA
Period8/14/008/16/00

ASJC Scopus subject areas

  • Engineering(all)

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    Morcous, G., Rivard, H., & Hanna, A. (2000). Case-based reasoning system for bridge management. In R. Fruchter, F. Pena-Mora, W. M. K. Roddis, R. Fruchter, F. Pena-Mora, & W. M. K. Roddis (Eds.), Computing in Civil and Building Engineering (pp. 1363-1370). (Computing in Civil and Building Engineering; Vol. 2).