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.
- Record URL:
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Supplemental Notes:
- This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
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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 47906-1075Office 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
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: 16p
Subject/Index Terms
- TRT Terms: Bayes' theorem; Bridge decks; Concrete bridges; Condition surveys; Data collection; Deterioration; Inspection; Probability
- Identifier Terms: AASHTO Manual for Bridge Element Inspection
- Subject Areas: Bridges and other structures; Highways; Maintenance and Preservation; Planning and Forecasting;
Filing Info
- Accession Number: 01667759
- Record Type: Publication
- Report/Paper Numbers: NEXTRANS Project No.173OSUY2.2
- Contract Numbers: DTRT12-G-UTC05
- Files: UTC, TRIS, ATRI, USDOT
- Created Date: Apr 30 2018 5:20PM