A prototype tool of optimal wireless sensor placement for structural health monitoring
© Springer International Publishing AG, part of Springer Nature 2018. With increasing collapses of civil infrastructures and popularized utilization of large-scale structures, worldwide deployment of structural health monitoring (SHM) systems is of importance in emerging and future SHM industry. A r...
| Main Authors: | , , |
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| Format: | Conference Paper |
| Published: |
2018
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| Online Access: | http://purl.org/au-research/grants/arc/LP160100528 http://hdl.handle.net/20.500.11937/69818 |
| _version_ | 1848762142566645760 |
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| author | Shi, W. Wu, Changzhi Wang, X. |
| author_facet | Shi, W. Wu, Changzhi Wang, X. |
| author_sort | Shi, W. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © Springer International Publishing AG, part of Springer Nature 2018. With increasing collapses of civil infrastructures and popularized utilization of large-scale structures, worldwide deployment of structural health monitoring (SHM) systems is of importance in emerging and future SHM industry. A reliable and practical tool of optimal wireless sensor placement (OWSP) can promote implementation of wireless-based SHM systems by reducing construction cost, extending lifetime and improving detection accuracy. This paper presents a prototype of wireless sensor placement (WSP) for bridge SHM based on multi-objective optimisation (MOO) technique and bridge information modelling (BrIM) technology. MOO technique is used to determine sensor locations by simultaneously searching for multiple trade-offs among structural engineering, wireless engineering and construction management. The BrIM model will be used as a platform to validate and visualize the proposed MOO. A BrIM integrated design tool will be developed to improve the efficiency in design stage through visualisation capabilities and semantic enrichment of a bridge model. As future applications, 4D BrIM that combines time-related information in visual environments with the 3D geometric and semantic BrIM model will help engineers and contractors to visualise possible defects and project costs in the real world. |
| first_indexed | 2025-11-14T10:42:52Z |
| format | Conference Paper |
| id | curtin-20.500.11937-69818 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:42:52Z |
| publishDate | 2018 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-698182023-02-02T03:24:11Z A prototype tool of optimal wireless sensor placement for structural health monitoring Shi, W. Wu, Changzhi Wang, X. © Springer International Publishing AG, part of Springer Nature 2018. With increasing collapses of civil infrastructures and popularized utilization of large-scale structures, worldwide deployment of structural health monitoring (SHM) systems is of importance in emerging and future SHM industry. A reliable and practical tool of optimal wireless sensor placement (OWSP) can promote implementation of wireless-based SHM systems by reducing construction cost, extending lifetime and improving detection accuracy. This paper presents a prototype of wireless sensor placement (WSP) for bridge SHM based on multi-objective optimisation (MOO) technique and bridge information modelling (BrIM) technology. MOO technique is used to determine sensor locations by simultaneously searching for multiple trade-offs among structural engineering, wireless engineering and construction management. The BrIM model will be used as a platform to validate and visualize the proposed MOO. A BrIM integrated design tool will be developed to improve the efficiency in design stage through visualisation capabilities and semantic enrichment of a bridge model. As future applications, 4D BrIM that combines time-related information in visual environments with the 3D geometric and semantic BrIM model will help engineers and contractors to visualise possible defects and project costs in the real world. 2018 Conference Paper http://hdl.handle.net/20.500.11937/69818 10.1007/978-3-319-91638-5_3 http://purl.org/au-research/grants/arc/LP160100528 restricted |
| spellingShingle | Shi, W. Wu, Changzhi Wang, X. A prototype tool of optimal wireless sensor placement for structural health monitoring |
| title | A prototype tool of optimal wireless sensor placement for structural health monitoring |
| title_full | A prototype tool of optimal wireless sensor placement for structural health monitoring |
| title_fullStr | A prototype tool of optimal wireless sensor placement for structural health monitoring |
| title_full_unstemmed | A prototype tool of optimal wireless sensor placement for structural health monitoring |
| title_short | A prototype tool of optimal wireless sensor placement for structural health monitoring |
| title_sort | prototype tool of optimal wireless sensor placement for structural health monitoring |
| url | http://purl.org/au-research/grants/arc/LP160100528 http://hdl.handle.net/20.500.11937/69818 |