Bridge Influence Line Estimation for Bridge Weigh-in-Motion System

This paper presents an algorithm that estimates the influence line (IL) of a bridge using data collected when trucks pass over the sensors installed in the bridge. The algorithm is tested with data collected from the Millau Viaduct in France using a bridge weigh-in-motion (B-WIM) device. The algorithm uses the maximum likelihood estimation (MLE) and is compared with an old algorithm. The algorithm is more robust because it takes into account many signals for the estimation of the IL.

• Record URL:
  https://doi.org/10.1061/(ASCE)CP.1943-5487.0000384
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/08873801
• Supplemental Notes:
  • © 2015 American Society of Civil Engineers.
• Authors:
  • Ieng, Sio-Song
• Publication Date: 2015-1

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: 06014006
• Serial:
  • Journal of Computing in Civil Engineering
  • Volume: 29
  • Issue Number: 1
  • Publisher: American Society of Civil Engineers
  • ISSN: 0887-3801

Subject/Index Terms

• TRT Terms: Algorithms; Bridges; Influence lines; Maximum likelihood method; Signal processing; Weigh in motion
• Identifier Terms: Viaduc de Millau (Viaduct : France)
• Subject Areas: Bridges and other structures; Highways; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01555475
• Record Type: Publication
• Files: TRIS, ASCE
• Created Date: Feb 27 2015 10:03AM