Multiple Objective Wireless Sensor Placement for Bridge Health Monitoring
This thesis presents a novel approach for optimising the placement of sensors in WSN for bridge health monitoring through the integration of Building Information Modelling (BIM) and advanced optimisation algorithms. BIM provides a comprehensive and accurate representation of the bridge structure and...
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| Format: | Thesis |
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Curtin University
2023
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| Online Access: | http://hdl.handle.net/20.500.11937/94589 |
| _version_ | 1848765882442973184 |
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| author | Shi, Weixiang |
| author_facet | Shi, Weixiang |
| author_sort | Shi, Weixiang |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This thesis presents a novel approach for optimising the placement of sensors in WSN for bridge health monitoring through the integration of Building Information Modelling (BIM) and advanced optimisation algorithms. BIM provides a comprehensive and accurate representation of the bridge structure and its properties, which serves as the foundation for sensor placement optimisation. The use of the advanced optimisation algorithms enables the efficient search for the optimal sensor placement, considering various constraints and requirements. |
| first_indexed | 2025-11-14T11:42:19Z |
| format | Thesis |
| id | curtin-20.500.11937-94589 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:42:19Z |
| publishDate | 2023 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-945892024-03-25T06:03:03Z Multiple Objective Wireless Sensor Placement for Bridge Health Monitoring Shi, Weixiang This thesis presents a novel approach for optimising the placement of sensors in WSN for bridge health monitoring through the integration of Building Information Modelling (BIM) and advanced optimisation algorithms. BIM provides a comprehensive and accurate representation of the bridge structure and its properties, which serves as the foundation for sensor placement optimisation. The use of the advanced optimisation algorithms enables the efficient search for the optimal sensor placement, considering various constraints and requirements. 2023 Thesis http://hdl.handle.net/20.500.11937/94589 Curtin University restricted |
| spellingShingle | Shi, Weixiang Multiple Objective Wireless Sensor Placement for Bridge Health Monitoring |
| title | Multiple Objective Wireless Sensor Placement for Bridge Health Monitoring |
| title_full | Multiple Objective Wireless Sensor Placement for Bridge Health Monitoring |
| title_fullStr | Multiple Objective Wireless Sensor Placement for Bridge Health Monitoring |
| title_full_unstemmed | Multiple Objective Wireless Sensor Placement for Bridge Health Monitoring |
| title_short | Multiple Objective Wireless Sensor Placement for Bridge Health Monitoring |
| title_sort | multiple objective wireless sensor placement for bridge health monitoring |
| url | http://hdl.handle.net/20.500.11937/94589 |