Bayesian Updating Procedure for Prediction of Concrete Bridge Deck Condition Using Visual Inspection Data

The AASHTO Bridge Element Inspection Guide Manual (2010) (AASHTO Manual) establishes a national guideline for performance evaluation of bridge elements and collection of inspection data. In the manual, the state of performance of a bridge element is expressed as a condition state vector. For example, for bridge decks, the focus of this study, four condition states are defined based on the extent of different types of defects, such as cracking, spalls, and delamination. For a given bridge, each entry of the condition state vector is the proportion of the deck that is in the corresponding condition state. The AASHTO Manual, which is adopted by all state transportation agencies in the US, requires regular observations and measurements of highway bridges to capture their physical and functional states. State Departments of Transportation (DOTs) usually carry out such bridge inspections once every one to two years. Typically, the resulting inspection data are used on a one-time basis to estimate deterioration models whereby subsequent observations are used only as inputs to forecast deterioration. The objective of this study is to develop a framework that utilizes the bridge inspection data collected on an ongoing basis to update transition probabilities for concrete bridge decks. Doing so is expected to improve the representativeness of these probabilistic deterioration models and the accuracy of their predictions. An evaluation is also conducted to assess the value of such an approach.

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  • Supplemental Notes:
    • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
  • Corporate Authors:

    Ohio State University, Columbus

    Department of Civil and Environmental Engineering and Geodetic Science
    2070 Neil Avenue
    Columbus, OH  United States  43210-1275


    Purdue University
    3000 Kent Avenue
    Lafayette, IN  United States  47906-1075

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Authors:
    • Shafieezadeh, Abdollah
    • Mishalani, Rabi G
    • Li, Zequn
  • Publication Date: 2017-6-30


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 16p

Subject/Index Terms

Filing Info

  • Accession Number: 01667759
  • Record Type: Publication
  • Report/Paper Numbers: NEXTRANS Project No.173OSUY2.2
  • Contract Numbers: DTRT12-G-UTC05
  • Created Date: Mar 15 2018 10:11AM