Application of neural networks for the performance evaluation of bridges

Augusto V. Molina*, Karen C. Chou

*Corresponding author for this work

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

5 Scopus citations

Abstract

Evaluation of existing bridges is a routine process in the nation's departments of transportation. Although final rating of a bridge is based on data collected through inspection of critical structural components, the process still requires engineering judgement and experience, which are seldom identical among engineers. A tool called neural network has been shown as an attractive alternative in the decision making process in many fields including engineering. The efficiency and potential of neural networks in evaluating bridge performance are discussed herein.

Original languageEnglish (US)
Title of host publicationProbabilistic Mechanics and Structural and Geotechnical Reliability, Proceedings of the Specialty Conference
PublisherASCE
Pages298-301
Number of pages4
StatePublished - Jan 1 1996
EventProceedings of the 1996 7th Specialty Conference on Probabilistic Mechanics and Structural Reliability - Worcester, MA, USA
Duration: Aug 7 1996Aug 9 1996

Other

OtherProceedings of the 1996 7th Specialty Conference on Probabilistic Mechanics and Structural Reliability
CityWorcester, MA, USA
Period8/7/968/9/96

ASJC Scopus subject areas

  • Engineering(all)

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