QUT ePrints

Preliminary study on bridge health prediction using Dynamic Objective Oriented Bayesian Network (DOOBN)

Wang, Ruizi, Ma, Lin, Yan, Cheng, & Mathew, Joseph (2010) Preliminary study on bridge health prediction using Dynamic Objective Oriented Bayesian Network (DOOBN). In Proceedings of : WCEAM 2010 : Fifth World Congress on Engineering Asset Management, World Congress on Engineering Asset Management, Brisbane, Qld.. (In Press)

View at publisher

Abstract

The availability of bridges is crucial to people’s daily life and national economy. Bridge health prediction plays an important role in bridge management because maintenance optimization is implemented based on prediction results of bridge deterioration. Conventional bridge deterioration models can be categorised into two groups, namely condition states models and structural reliability models. Optimal maintenance strategy should be carried out based on both condition states and structural reliability of a bridge. However, none of existing deterioration models considers both condition states and structural reliability. This study thus proposes a Dynamic Objective Oriented Bayesian Network (DOOBN) based method to overcome the limitations of the existing methods. This methodology has the ability to act upon as a flexible unifying tool, which can integrate a variety of approaches and information for better bridge deterioration prediction. Two demonstrative case studies are conducted to preliminarily justify the feasibility of the methodology

Impact and interest:

Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

132 since deposited on 14 Dec 2011
57 in the past twelve months

Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 47717
Item Type: Conference Paper
Keywords: Bridge health prediction, Dynamic object oriented Bayesian network (DOOBN), Condition States, Structural reliability
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Infrastructure Engineering and Asset Management (090505)
Divisions: Current > Research Centres > CRC Integrated Engineering Asset Management (CIEAM)
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2010 please consult the authors
Deposited On: 14 Dec 2011 10:27
Last Modified: 14 Dec 2011 10:29

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page