QUANTIFICATION OF RISK VARIABLES TO SELECT BRIDGE PROPOSALS USING FUZZY-SETS

During the bridge design process there are many risk variables as result of the high degree of subjectivity and uncertainty. The present document describes the research carried out to select the best configurations patterns of bridges and construction methods in function of the risk variables for each case. The model applies the fuzzy sets theory and the analytic hierarchy process (AHP). Combining both theories is possible to quantify and analyze the most representative design criteria, as well as the most important risk variables as safety of the construction method, durability of the structure, costs, etc. In this way, according to the information of a data base of Spanish bridges realized for this model, as well as the experience of specialists in design and construction of bridges, collected through a survey specifically oriented to the present subject, the model identifies and qualifies the risk variables, and as a result ranks the alternatives of the most feasible proposals. (A) For the covering abstract see ITRD E121600.

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  • Corporate Authors:

    International Association for Bridge and Structural Engineering

    ETH-Honggerberg, Wolfgang-Pauli-Strasse 15
    Zurich 8093,   Switzerland  CH-8093
  • Authors:
    • RAMIREZ MARQUEZ, M
    • CASAS, J R
  • Publication Date: 2001

Language

  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 00979497
  • Record Type: Publication
  • Source Agency: Transport Research Laboratory
  • ISBN: 3-085748-102-4
  • Files: ITRD
  • Created Date: Oct 6 2004 12:00AM