A Petri-Net-based modelling approach to railway bridge asset management

Yianni, Panayioti C.; Rama, Dovile; Neves, Luis C.; Andrews, John D.; Castlo, David

Abstract

Management of a large portfolio of infrastructure assets is a complex and demanding task for transport agencies. Although extensive research has been conducted on probabilistic models for asset management, in particular bridges, focus has been almost exclusively on deterioration modelling. The model being presented in this study tries to reunite a disjointed system by combining deterioration, inspection and maintenance models. A Petri-Net (PN) modelling approach is employed and the resulting model consists of a number of different modules each with its own source of data, calibration methodology and functionality. The modules interconnect providing a robust framework. The interaction between the modules can be used to provide meaningful outputs useful to railway bridge portfolio managers.

Citation

Yianni, P. C., Rama, D., Neves, L. C., Andrews, J. D., & Castlo, D. (in press). A Petri-Net-based modelling approach to railway bridge asset management. Structure and Infrastructure Engineering, 13(2), https://doi.org/10.1080/15732479.2016.1157826

• Journal Article Type: Article
• Acceptance Date: Jan 26, 2016
• Online Publication Date: Apr 18, 2016
• Deposit Date: Mar 1, 2016
• Publicly Available Date: Apr 18, 2016
• Journal: Structure and Infrastructure Engineering
• Print ISSN: 1573-2479
• Electronic ISSN: 1744-8980
• Publisher: Routledge
• Peer Reviewed: Peer Reviewed
• Volume: 13
• Issue: 2
• DOI: https://doi.org/10.1080/15732479.2016.1157826
• Keywords: Rail, Bridges, Asset Management, Maintainability, Whole Life Cycle Costing, Petri-Net
• Public URL: https://nottingham-repository.worktribe.com/output/784875
• Publisher URL: http://www.tandfonline.com/doi/abs/10.1080/15732479.2016.1157826?journalCode=nsie20
• Additional Information: This is an Accepted Manuscript of an article published by Taylor & Francis in Structure and Infrastructure Engineering on 18 April 2016, available online: http://www.tandfonline.com/10.1080/15732479.2016.1157826
• Contract Date: Mar 1, 2016