Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/8627
Title: Multi-type, multi-sensor placement optimization for structural health monitoring of long span bridges
Authors: Soman, Rohan N.
Onoufriou, Toula 
Kyriakides, Marios A.
Votsis, Renos 
Chrysostomou, Christis 
Keywords: Long span bridge;Sensor placement optimization;Mode shape expansion;Modal identification;Modal clarity index;Genetic algorithm
Category: Civil Engineering
Field: Engineering and Technology
Issue Date: 2014
Publisher: Techno-Press
Source: Smart Structures and Systems, Volume 14, Issue 1, 2014, pages 55-70
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
URI: http://ktisis.cut.ac.cy/handle/10488/8627
ISSN: 1738-1584
1738-1991 (Online)
DOI: 10.12989/sss.2014.14.1.055
Rights: Copyright © Techno-Press, Ltd.
Type: Article
Appears in Collections:Άρθρα/Articles

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