Modal Identification Study of Vincent Thomas Bridge Using Simulated Wind-Induced Ambient Vibration Data

This paper provides simulation of wind-induced vibration response of the Vincent Thomas Bridge, a suspension bridge located in San Pedro near Los Angeles, California, using a detailed 3-D finite element model of the bridge and a state-of-the-art stochastic wind excitation model. Based on the simulated wind-induced vibration data, the modal parameters (natural frequencies, damping ratios, mode shapes) of the bridge are identified using the data-driven stochastic subspace identification method. The identified modal parameters are verified by computed eigenproperties of the bridge model. Effects of measurement noise on the system identification results are also studied by adding zero-mean Gaussian white noise processes to the simulated response data. Statistical properties of the identified modal parameters are examined under an increasing level of measurement noise. The framework presented in this research will allow for the study of effects of various realistic damage scenarios in long-span cable-supported (suspension and cable-stayed) bridges on changes in modal identification results. Such studies are required to develop robust, reliable vibration-based structural health monitoring methods for this type of bridge, which is a long-term research aim of the authors.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/10939687
• Authors:
  • He, Xianfei
  • Moaveni, Babak
  • Conte, Joel P
  • Elgamal, Ahmed
• Publication Date: 2008-7

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 373-388
• Serial:
  • Computer-Aided Civil and Infrastructure Engineering
  • Volume: 23
  • Issue Number: 5
  • Publisher: Blackwell Publishing
  • ISSN: 1093-9687
  • Serial URL: http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-8667

Subject/Index Terms

• TRT Terms: Bridge engineering; Cable stayed bridges; Dynamic structural analysis; Finite element method; State of the art; Stochastic processes; Suspension bridges; Vibration; Wind
• Subject Areas: Bridges and other structures; Data and Information Technology; Design; Highways; I24: Design of Bridges and Retaining Walls;

Filing Info

• Accession Number: 01103045
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 24 2008 7:42AM