The Use of Stochasatic Processes in Bridge Lifetime Assessment

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

The Use of Stochasatic Processes in Bridge Lifetime Assessment

Aboura, K Samali, B

Crews, KI

Li, J

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Publisher:: River Publishers
Publication Type:: Chapter
Citation:: Biomedical and Environmental Sensing, 2009, 1, 5 pp. 295 - 316
Issue Date:: 2009-01

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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, KI https://orcid.org/0000-0003-1450-1423	en_US
dc.contributor.author	Li, J https://orcid.org/0000-0002-2526-3048	en_US
dc.contributor.editor	Agbinya, JI	en_US
dc.contributor.editor	Biermann, E	en_US
dc.contributor.editor	Hamam, Y	en_US
dc.contributor.editor	Rocaries, F	en_US
dc.contributor.editor	Lal, SK	en_US
dc.date.issued	2009-01	en_US
dc.identifier.citation	Biomedical and Environmental Sensing, 2009, 1, 5 pp. 295 - 316	en_US
dc.identifier.isbn	978-87-92329-28-8	en_US
dc.identifier.uri	http://hdl.handle.net/10453/7888
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	River Publishers	en_US
dc.relation.ispartof	Biomedical and Environmental Sensing	en_US
dc.title	The Use of Stochasatic Processes in Bridge Lifetime Assessment	en_US
dc.type	Chapter
utslib.citation.volume	5	en_US
utslib.location	Denmark	en_US
utslib.for	0905 Civil Engineering	en_US
utslib.citation.edition	1	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	closed_access
pubs.consider-herdc	true	en_US
pubs.edition	1	en_US
pubs.place-of-publication	Denmark	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.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/7888