Multiple Objective Wireless Sensor Placement for Bridge Health Monitoring
| dc.contributor.author | Shi, Weixiang | |
| dc.contributor.supervisor | Xiangyu Wang | en_US |
| dc.contributor.supervisor | Changzhi Wu | en_US |
| dc.date.accessioned | 2024-03-25T06:03:03Z | |
| dc.date.available | 2024-03-25T06:03:03Z | |
| dc.date.issued | 2023 | en_US |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/94589 | |
| dc.description.abstract |
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. | en_US |
| dc.publisher | Curtin University | en_US |
| dc.title | Multiple Objective Wireless Sensor Placement for Bridge Health Monitoring | en_US |
| dc.type | Thesis | en_US |
| dcterms.educationLevel | PhD | en_US |
| curtin.department | School of Design and the Built Environment | en_US |
| curtin.accessStatus | Fulltext not available | en_US |
| curtin.faculty | Humanities | en_US |
| dc.date.embargoEnd | 2026-02-19 |