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dc.contributor.authorChan, T.
dc.contributor.authorLi, Jun
dc.contributor.authorCaprani, C.
dc.date.accessioned2018-12-13T09:14:07Z
dc.date.available2018-12-13T09:14:07Z
dc.date.created2018-12-12T02:46:39Z
dc.date.issued2018
dc.identifier.citationChan, T. and Li, J. and Caprani, C. 2018. Structural identification and evaluation for SHM applications. Journal of Civil Structural Health Monitoring. 8 (5): pp. 719-720.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/72650
dc.identifier.doi10.1007/s13349-018-0308-1
dc.description.abstract

Optimal condition monitoring, maintenance and management of the existing civil infrastructure have been identified as a critical factor in ensuring and raising the economic productive capacity. Direct in-service structural health monitoring and vibration behaviour measurement data are essential to provide more accurate performance assessment and capacity estimation. The main focus of this special issue, organised by Australian Network of Structural Health Monitoring (ANSHM), is to present recent developments and applications of innovative techniques for structural modelling, structural identification with uncertainties, data interpretation for structural performance prediction and reserve capacity evaluation.

dc.publisherSpringer
dc.titleStructural identification and evaluation for SHM applications
dc.typeJournal Article
dcterms.source.volume8
dcterms.source.number5
dcterms.source.startPage719
dcterms.source.endPage720
dcterms.source.issn2190-5452
dcterms.source.titleJournal of Civil Structural Health Monitoring
curtin.departmentSchool of Civil and Mechanical Engineering (CME)
curtin.accessStatusFulltext not available


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