Classification of inventory data suit for managing Australian railway bridges

Thilakarathna, I., Chan, T.H.T., Thambiratnam, D., & Aflatooni, M. (2014) Classification of inventory data suit for managing Australian railway bridges. In Chen, Airong, Frangopol, Dan M., & Ruan, Xin (Eds.) Bridge Maintenance, Safety, Management and Life Extension, CRC Press, Shanghai, China, pp. 2854-2861.

[img] Published Version (PDF 1MB)
Administrators only

View at publisher


With a focus to optimising the life cycle performance of Australian Railway bridges, new bridge classification and environmental classification systems are proposed. The new bridge classification system is mainly to facilitate the implementation of novel Bridge Management System (BMS) which optimise the life cycle cost both at project level and network level while environment classification is mainly to improve accuracy of Remaining Service Potential (RSP) module of the proposed BMS. In fact, limited capacity of the existing BMS to trigger the maintenance intervention point is an indirect result of inadequacies of the existing bridge and environmental classification systems. The proposed bridge classification system permits to identify the intervention points based on percentage deterioration of individual elements and maintenance cost, while allowing performance based rating technique to implement for maintenance optimisation and prioritisation. Simultaneously, the proposed environment classification system will enhance the accuracy of prediction of deterioration of steel components.

Impact and interest:

0 citations in Scopus
Search Google Scholar™

Citation counts are 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.

ID Code: 80096
Item Type: Conference Paper
Refereed: Yes
DOI: 10.1201/b17063-426
ISBN: 9781315760698
Divisions: Current > Schools > School of Civil Engineering & Built Environment
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2014 Taylor & Francis
Deposited On: 14 Jan 2015 23:13
Last Modified: 16 Jan 2015 01:15

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page