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A Bayesian updating approach for bridge condition assessment using visual inspection data

A Bayesian updating approach for bridge condition assessment using visual inspection data This paper presents a new method for assessing the condition of a bridge. This method will hereafter be referred to as Bayesian Bridge Condition Assessment (BBCA). Using BBCA, first, the condition rating of a bridge is expressed using values in order to consider the uncertainties. Then, as new information for condition rating becomes available, the prior condition rating is updated to arrive at a posterior condition rating using Bayesian updating approach. This enhanced condition rating represents the up-to-date condition; and as such, it is expected to be a better representative of the condition of the bridge. Numerical illustrations are provided to demonstrate the applicability of the method to highway bridges. It is shown that the method described in this paper is especially applicable to bridges for which visual inspection data are compiled on a periodic basis. Keywords: bridge; condition assessment; visual inspection; Bayesian updating; condition ratings. Reference to this paper should be made as follows: Dirbaz, M., Modares, M. and Mohammadi, J. (2016) ` using visual inspection data', Int. J. Structural Engineering, Vol. 7, No. 2, pp.127­144. Biographical notes: Mojtaba Dirbaz is currently a Structural Engineer at MWH Americas, Inc. in Chicago. He received his PhD in Structural http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Structural Engineering Inderscience Publishers

A Bayesian updating approach for bridge condition assessment using visual inspection data

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Publisher
Inderscience Publishers
Copyright
Copyright © 2016 Inderscience Enterprises Ltd.
ISSN
1758-7328
eISSN
1758-7336
DOI
10.1504/IJSTRUCTE.2016.076691
Publisher site
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Abstract

This paper presents a new method for assessing the condition of a bridge. This method will hereafter be referred to as Bayesian Bridge Condition Assessment (BBCA). Using BBCA, first, the condition rating of a bridge is expressed using values in order to consider the uncertainties. Then, as new information for condition rating becomes available, the prior condition rating is updated to arrive at a posterior condition rating using Bayesian updating approach. This enhanced condition rating represents the up-to-date condition; and as such, it is expected to be a better representative of the condition of the bridge. Numerical illustrations are provided to demonstrate the applicability of the method to highway bridges. It is shown that the method described in this paper is especially applicable to bridges for which visual inspection data are compiled on a periodic basis. Keywords: bridge; condition assessment; visual inspection; Bayesian updating; condition ratings. Reference to this paper should be made as follows: Dirbaz, M., Modares, M. and Mohammadi, J. (2016) ` using visual inspection data', Int. J. Structural Engineering, Vol. 7, No. 2, pp.127­144. Biographical notes: Mojtaba Dirbaz is currently a Structural Engineer at MWH Americas, Inc. in Chicago. He received his PhD in Structural

Journal

International Journal of Structural Engineering – Inderscience Publishers

Published: Jan 1, 2016

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