Strategy for Optimizing Sensor Placement Related to Structural Health Monitoring
An optimized sensor network design will be beneficial to both safety ensuring and cost reduction considerations of structural health monitoring (SHM) systems. A new best coverage model for sensor placement optimization (SPO) problems in SHM is presented. The formulation of the optimization problem is to maximize the response information which can reflect the presence of damage in a structure as well as to minimize the number of sensors by searching the optimized patterns of sensor placement topology on the feasible region of the structure being monitored. A novel evolutionary method called adaptive simulated annealing partheno-genetic algorithms (ASAPGA) which use particular partheno- genetic operators and adaptive mechanism is adopted to solve the SPO problem. The methodology is applied to sensor placement of a concrete faced rockfill dam monitoring, and results show that the new strategy achieves fast and stable sensor deployment and maximize the response information coverage.
Structural health monitoring Sensor placement Partheno-genetic algorithms Simulated annealing Adaptive Best coverage model Finite element method
Fei Kang Junjie Li Dezhi Liu
College of Civil and Hydraulic Engineering, Dalian University of Technology, Dalian 116024, China
国际会议
南京
英文
474-478
2007-10-16（万方平台首次上网日期，不代表论文的发表时间）