• DocumentCode
    1945041
  • Title

    Vehicle Velocity Recognition by Bridge Responses with a Pattern Search Algorithm

  • Author

    Weiming, Li ; Hongping, Zhu ; Yong, Xia

  • Author_Institution
    Sch. of Civil Eng. & Mech., Huazhong Univ. of Sci. & Technol., Wuhan
  • Volume
    1
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    32
  • Lastpage
    35
  • Abstract
    The vehicle velocity of an operational system is recognized by the bridge responses with a pattern search algorithm in this paper, which provides an approach to monitor the vehicle velocity in civil engineering. The Pattern Search algorithm is represented by a preliminary numerical example. The operational bridge system is simplified to a moving mass and a simple supported beam, and the vibration differential equations are obtained to get an objective function. The vehicle velocity is identified after 34 iterations while the mesh size is little than the threshold value. The mesh sizes, the best function value, and the evaluation of the iterations are illustrated by figures. The recognition results are compared to the other two algorithms, genetic algorithm and simulated annealing, respectively. It is concluded that the vehicle velocity could be identified by the pattern search algorithm in a convergent and efficient way.
  • Keywords
    bridges (structures); differential equations; pattern recognition; structural engineering computing; bridge responses; civil engineering; genetic algorithm; objective function; pattern search algorithm; simulated annealing; vehicle velocity recognition; vibration differential equations; Bridges; Civil engineering; Genetic algorithms; Global Positioning System; Monitoring; Optimization methods; Pattern recognition; Simulated annealing; Software algorithms; Vehicles; bridge responses; operational system; pattern search algorithm; vehicle veloctiy recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.321
  • Filename
    4721684