Multiple Objective Wireless Sensor Placement for Bridge Health Monitoring
Access Status
Fulltext not available
Embargo Lift Date
2026-02-19
Authors
Shi, Weixiang
Date
2023Supervisor
Xiangyu Wang
Changzhi Wu
Type
Thesis
Award
PhD
Metadata
Show full item recordFaculty
Humanities
School
School of Design and the Built Environment
Collection
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.
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