Structural identification and evaluation for SHM applications
dc.contributor.author | Chan, T. | |
dc.contributor.author | Li, Jun | |
dc.contributor.author | Caprani, C. | |
dc.date.accessioned | 2018-12-13T09:14:07Z | |
dc.date.available | 2018-12-13T09:14:07Z | |
dc.date.created | 2018-12-12T02:46:39Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Chan, 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.uri | http://hdl.handle.net/20.500.11937/72650 | |
dc.identifier.doi | 10.1007/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.publisher | Springer | |
dc.title | Structural identification and evaluation for SHM applications | |
dc.type | Journal Article | |
dcterms.source.volume | 8 | |
dcterms.source.number | 5 | |
dcterms.source.startPage | 719 | |
dcterms.source.endPage | 720 | |
dcterms.source.issn | 2190-5452 | |
dcterms.source.title | Journal of Civil Structural Health Monitoring | |
curtin.department | School of Civil and Mechanical Engineering (CME) | |
curtin.accessStatus | Fulltext not available |
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