Evidential reasoning approach for bridge condition assessment

Ying Ming Wang*, Taha M. S. Elhag

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

100 Citations (Scopus)

Abstract

Bridge condition assessment is usually conducted by bridge inspectors on the basis of visual inspections. This inevitably involves human being's subjective judgments and uncertainties. In order to model uncertainties associated with subjective assessments, this paper presents an evidential reasoning (ER) approach for bridge condition assessment. The ER approach has the following advantages over other approaches for bridge condition rating: (1) the relative importance of different bridge components and elements is incorporated into the model; (2) bridge condition ratings are treated as assessment grades rather than precise numerical values, which is more logical; (3) bridge element can be assessed to two adjacent assessment grades at the same time if it cannot be precisely assessed to only one assessment grade, each with a belief degree (probability, confidence) to show to what extent the element is assessed to the two different grades, respectively; (4) the overall assessment of a bridge is a distributed assessment, which provides a panoramic view about the bridge condition. A case study is provided to illustrate the implementation process of the ER approach for bridge condition assessment.

Original languageEnglish
Pages (from-to)689-699
Number of pages11
JournalExpert Systems with Applications
Volume34
Issue number1
DOIs
Publication statusPublished - Jan 2008

Keywords

  • Belief degree
  • Bridge condition rating
  • Evidential reasoning approach
  • Uncertainty

ASJC Scopus subject areas

  • General Engineering
  • Computer Science Applications
  • Artificial Intelligence

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