Comparative Probabilistic Initial Bridge Load Rating Model

A model that applies to initial bridge load ratings based on allowable stress, load factor, and load and resistance factor design is presented. The prognostic component calculates bridge load ratings probabilistically considering random variables representative of load and resistance effects. The diagnostic component helps to point out the sensitivity rankings of these input parameters. Monte Carlo simulation and Bayesian networks are the tools employed in this bidirectional model. The model is applied to a beam in a prestressed concrete bridge at the beginning of its service life to demonstrate conclusions related to its applicability as a tool in areas related to bridge design and load rating.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/32947845
• Supplemental Notes:
  • Abstract reprinted with permission from ASCE
• Authors:
  • LeBeau, Keary
  • Wadia-Fascetti, Sara J
• Publication Date: 2007-11

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 785-793
• Serial:
  • Journal of Bridge Engineering
  • Volume: 12
  • Issue Number: 6
  • Publisher: American Society of Civil Engineers
  • ISSN: 1084-0702
  • Serial URL: http://ojps.aip.org/beo

Subject/Index Terms

• TRT Terms: Bridge design; Bridge engineering; Load and resistance factor design; Load factor; Monte Carlo method; Prestressing
• Uncontrolled Terms: Bayesian analysis; Load rating (Bridges)
• Subject Areas: Bridges and other structures; Design; Highways; I24: Design of Bridges and Retaining Walls;

Filing Info

• Accession Number: 01080850
• Record Type: Publication
• Files: TRIS
• Created Date: Nov 15 2007 10:40AM