• DocumentCode
    1629367
  • Title

    Stochastic Deterioration Processes for Bridge Lifetime Assessment

  • Author

    Aboura, Khalid ; Samali, Bijan ; Crews, Keith ; Li, Jianchun

  • Author_Institution
    Univ. of Technol. Sydney Centre for Built Infrastruct. Res., Sydney, NSW
  • fYear
    2008
  • Firstpage
    437
  • Lastpage
    442
  • Abstract
    The Markov chain model can be found in the maintenance and repair problems since the early 60´s, is introduced to the maintenance of road infrastructure in the 1980´s, and is made to drive the current bridge maintenance optimization systems. While this model results into solvable programming problems and provides a solution, there are a number of criticisms associated with it. In this article, we highlight the shortfalls of the Markov model for bridge infrastructure lifetime assessment and promote the use of stochastic processes. We use examples from a study for the modeling of the condition of bridges that considers more than 15 years of data. We argue for the applicability of the gamma process and other stochastic processes.
  • Keywords
    Markov processes; bridges (structures); maintenance engineering; optimisation; remaining life assessment; Markov chain model; bridge lifetime assessment; bridge maintenance optimization systems; maintenance problems; repair problems; road infrastructure maintenance; stochastic deterioration processes; Aging; Australia; Bridges; Broadband communication; Cost function; Information technology; Inspection; Road transportation; Stochastic processes; Stochastic systems; Maintenance; Monitoring; Stochastic Processes; Structural Deterioration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Broadband Communications, Information Technology & Biomedical Applications, 2008 Third International Conference on
  • Conference_Location
    Gauteng
  • Print_ISBN
    978-1-4244-3281-3
  • Electronic_ISBN
    978-0-7695-3453-4
  • Type

    conf

  • DOI
    10.1109/BROADCOM.2008.6
  • Filename
    4696145