Structural identification and evaluation for SHM applications
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 p...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Springer
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/72650 |
| _version_ | 1848762807116365824 |
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| author | Chan, T. Li, Jun Caprani, C. |
| author_facet | Chan, T. Li, Jun Caprani, C. |
| author_sort | Chan, T. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T10:53:26Z |
| format | Journal Article |
| id | curtin-20.500.11937-72650 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:53:26Z |
| publishDate | 2018 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-726502019-06-10T08:18:05Z Structural identification and evaluation for SHM applications Chan, T. Li, Jun Caprani, C. 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. 2018 Journal Article http://hdl.handle.net/20.500.11937/72650 10.1007/s13349-018-0308-1 Springer restricted |
| spellingShingle | Chan, T. Li, Jun Caprani, C. Structural identification and evaluation for SHM applications |
| title | Structural identification and evaluation for SHM applications |
| title_full | Structural identification and evaluation for SHM applications |
| title_fullStr | Structural identification and evaluation for SHM applications |
| title_full_unstemmed | Structural identification and evaluation for SHM applications |
| title_short | Structural identification and evaluation for SHM applications |
| title_sort | structural identification and evaluation for shm applications |
| url | http://hdl.handle.net/20.500.11937/72650 |