Stochastic deterioration processes for bridge lifetime assessment

Aboura, K; Samali, B; Crews, K; Li, J

Stochastic deterioration processes for bridge lifetime assessment

Aboura, K Samali, B

Crews, K

Li, J

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 3rd International Conference on Broadband Communications, Informatics and Biomedical Applications, BroadCom 2008, 2008, pp. 437 - 442
Issue Date:: 2008-12-01

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Field	Value	Language
dc.contributor.author	Aboura, K	en_US
dc.contributor.author	Samali, B https://orcid.org/0000-0002-3426-7745	en_US
dc.contributor.author	Crews, K https://orcid.org/0000-0003-1450-1423	en_US
dc.contributor.author	Li, J https://orcid.org/0000-0002-2526-3048	en_US
dc.date.issued	2008-12-01	en_US
dc.identifier.citation	Proceedings - 3rd International Conference on Broadband Communications, Informatics and Biomedical Applications, BroadCom 2008, 2008, pp. 437 - 442	en_US
dc.identifier.isbn	9780769534534	en_US
dc.identifier.uri	http://hdl.handle.net/10453/10680
dc.description.abstract	The Markov chain model can be found in the maintenance and repair problems since the early 60's, is introduced to the maintenance of road infrastructure in the 1980's, and is made to drive the current bridge maintenance optimization systems. While this model results into solvable programming problems and provides a solution, there are a number of criticisms associated with it. In this article, we highlight the shortfalls of the Markov model for bridge infrastructure lifetime assessment and promote the use of stochastic processes. We use examples from a study for the modeling of the condition of bridges that considers more than 15 years of data. We argue for the applicability of the gamma process and other stochastic processes. © 2008 IEEE.	en_US
dc.relation.ispartof	Proceedings - 3rd International Conference on Broadband Communications, Informatics and Biomedical Applications, BroadCom 2008	en_US
dc.relation.isbasedon	10.1109/BROADCOM.2008.6	en_US
dc.title	Stochastic deterioration processes for bridge lifetime assessment	en_US
dc.type	Conference Proceeding
utslib.for	0915 Interdisciplinary Engineering	en_US
dc.location.activity	Pretoria, South Africa	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CBI - Centre for Built Infrastructure
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

The Markov chain model can be found in the maintenance and repair problems since the early 60's, is introduced to the maintenance of road infrastructure in the 1980's, and is made to drive the current bridge maintenance optimization systems. While this model results into solvable programming problems and provides a solution, there are a number of criticisms associated with it. In this article, we highlight the shortfalls of the Markov model for bridge infrastructure lifetime assessment and promote the use of stochastic processes. We use examples from a study for the modeling of the condition of bridges that considers more than 15 years of data. We argue for the applicability of the gamma process and other stochastic processes. © 2008 IEEE.

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http://hdl.handle.net/10453/10680