The Use of Stochastic Processes in Bridge Maintenance Optimisation

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

The Use of Stochastic Processes in Bridge Maintenance Optimisation

Samali, B

Crews, KI

Aboura, K Li, J

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Publisher:: UTS ePress
Publication Type:: Journal Article
Citation:: African Journal of Information & Communication Te..., 2009, 5 (1), pp. 43 - 53
Issue Date:: 2009-01

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Field	Value	Language
dc.contributor.author	Samali, B https://orcid.org/0000-0002-3426-7745	en_US
dc.contributor.author	Crews, KI https://orcid.org/0000-0003-1450-1423	en_US
dc.contributor.author	Aboura, K	en_US
dc.contributor.author	Li, J https://orcid.org/0000-0002-2526-3048	en_US
dc.date.issued	2009-01	en_US
dc.identifier.citation	African Journal of Information & Communication Te..., 2009, 5 (1), pp. 43 - 53	en_US
dc.identifier.issn	1449-2679	en_US
dc.identifier.uri	http://hdl.handle.net/10453/8253
dc.description.abstract	We introduce an approach for modelling the structural deterioration of components of bridges for maintenance optimization purposes. The Markov chain model is 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. We highlight the shortfalls of the Markov model for bridge lifetime assessment and promote the use of stochastic processes.	en_US
dc.publisher	UTS ePress	en_US
dc.relation.ispartof	African Journal of Information & Communication Te...	en_US
dc.relation.isbasedon	10.1080/15732479.2014.920038	en_US
dc.title	The Use of Stochastic Processes in Bridge Maintenance Optimisation	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	5	en_US
utslib.for	1702 Cognitive Sciences	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	1005 Communications Technologies	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.consider-herdc	true	en_US
pubs.issue	1	en_US
pubs.volume	5	en_US

Abstract:

We introduce an approach for modelling the structural deterioration of components of bridges for maintenance optimization purposes. The Markov chain model is 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. We highlight the shortfalls of the Markov model for bridge lifetime assessment and promote the use of stochastic processes.

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http://hdl.handle.net/10453/8253