Multi-type, multi-sensor placement optimization for structural health monitoring of long span bridges
Journal
Smart Structures and Systems
Date Issued
July 2014
DOI
10.12989/sss.2014.14.1.055
Abstract
The paper presents a multi-objective optimization strategy for a multi-type sensor placement for
Structural Health Monitoring (SHM) of long span bridges. The problem is formulated for simultaneous
placement of strain sensors and accelerometers (heterogeneous network) based on application demands for
SHM system. Modal Identification (MI) and Accurate Mode Shape Expansion (AMSE) were chosen as the
application demands for SHM. The optimization problem is solved through the use of integer Genetic
Algorithm (GA) to maximize a common metric to ensure adequate MI and AMSE. The performance of the
joint optimization problem solved by GA is compared with other established methods for homogenous
sensor placement. The results indicate that the use of a multi-type sensor system can improve the quality of
SHM. It has also been demonstrated that use of GA improves the overall quality of the sensor placement
compared to other methods for optimization of sensor placement
Structural Health Monitoring (SHM) of long span bridges. The problem is formulated for simultaneous
placement of strain sensors and accelerometers (heterogeneous network) based on application demands for
SHM system. Modal Identification (MI) and Accurate Mode Shape Expansion (AMSE) were chosen as the
application demands for SHM. The optimization problem is solved through the use of integer Genetic
Algorithm (GA) to maximize a common metric to ensure adequate MI and AMSE. The performance of the
joint optimization problem solved by GA is compared with other established methods for homogenous
sensor placement. The results indicate that the use of a multi-type sensor system can improve the quality of
SHM. It has also been demonstrated that use of GA improves the overall quality of the sensor placement
compared to other methods for optimization of sensor placement