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Smart Structures and Systems
  Volume 14, Number 1, July 2014 , pages 55-70
DOI: https://doi.org/10.12989/sss.2014.14.1.055
 


Multi-type, multi-sensor placement optimization for structural health monitoring of long span bridges
Rohan N. Soman, Toula Onoufriou, Marios A. Kyriakides, Renos A. Votsis and Christis Z. Chrysostomou

 
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.
 
Key Words
    long span bridge; sensor placement optimization; mode shape expansion; modal identification; modal clarity index; genetic algorithm
 
Address
Rohan N. Soman, Toula Onoufriou, Marios A. Kyriakides, Renos A. Votsis and Christis Z. Chrysostomou: Department of Civil Engineering and Geomatics, Faculty of Engineering and Technology, Cyprus University of Technology, Limassol 3603, Cyprus, P.O. Box 50329
 

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