Damage Identification in Timber Bridges Utilising the Damage Index Method and Neural Network Ensembles

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dc.contributor.author Dackermann, U
dc.contributor.author Li, J
dc.contributor.author Samali, B
dc.date.accessioned 2010-05-28T09:47:48Z
dc.date.issued 2009-01
dc.identifier.citation Australian Journal of Structural Engineering, 2009, 9 (3), pp. 181 - 194
dc.identifier.issn 1328-7982
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/9150
dc.description.abstract Many of Australia's timber bridges are in aged and decayed conditions. In order to ensure the reliability of these structures and the safety of the public, condition assessment, damage detection and safety evaluation is necessary. This paper presents a damage identification procedure, which is based on global change of vibration characteristics of a structure. The developed method utilises the damage index (DI) method in combination with neural network techniques to identify damage in numerical and experimental timber beam structures. The neural network ensemble approach is utilised in order to respect important diversities of different modes and to integrate individual characteristics of vibrational mode separated damage features. The method considers field testing issues associated with measurement noise, limited number of sensor arrays and environmental fluctuations. The results of damage detection using the proposed approach demonstrate its ability to determine the location and severity of all present damage cases. The outcomes show that the developed damage detection method is effective, robust and reliable.
dc.publisher Engineers Australia
dc.title Damage Identification in Timber Bridges Utilising the Damage Index Method and Neural Network Ensembles
dc.type Journal Article
dc.parent Australian Journal of Structural Engineering
dc.journal.volume 3
dc.journal.volume 9
dc.journal.number 3 en_US
dc.publocation Australia en_US
dc.identifier.startpage 181 en_US
dc.identifier.endpage 194 en_US
dc.cauo.name FEIT.School of Civil and Environmental Engineering en_US
dc.conference Verified OK en_US
dc.for 090506 Structural Engineering
dc.personcode 995216 en_US
dc.personcode 930859 en_US
dc.personcode 870186 en_US
dc.percentage 100 en_US
dc.classification.name Structural Engineering en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords en_US
dc.staffid en_US
dc.staffid 870186 en_US
pubs.embargo.period Not known
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/Strength - Built Infrastructure


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