Stochastic processes for bridge deterioration assessment

The Roads and Traffic Authority of NSW (RTA) has over 5000 bridges in the road network under its jurisdiction. These structures were built from different materials, at different times, under different design codes with different articulations and are exposed to different environments. The levels and rate of deterioration of these structures vary greatly and are dependent on the effects of age, environment, magnitude and frequency of heavy traffic and construction quality. These factors make the management of these structures a real challenge to the RTA. In order for the RTA to improve the management of these bridge assets, the RTA is working with the University of Technology Sydney (UTS) to develop a statistical model to predict the future condition of bridges using the condition inspection data collected over the last 15 years. This paper will report on findings of the study conducted to identify a suitable model for prediction of future condition of bridges based on the available inspection data. The gamma process is considered in the development of the predictive model for the life of bridge components. In addition to the gamma process application, observations are made on the distribution of deterioration at different times that could lead to other stochastic processes for modeling time-dependent structural deterioration. (a) For the covering entry of this conference, please see IRRD abstract no. E218160.

  • Record URL:
  • Authors:
    • ABOURA, K
    • SAMALI, B
    • CREWS, K
  • Publication Date: 2009-5


  • English

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  • Accession Number: 01144027
  • Record Type: Publication
  • Source Agency: TRL
  • Files: ITRD, ATRI
  • Created Date: Nov 16 2009 12:21PM