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Sensor Configuration Optimizing in Modal Identification by Siege ant Colony Algorithm

Published online by Cambridge University Press:  19 September 2016

S. Feng ,
J.-Q. Jia  and
J.-C. Zhang
S. Feng*
Affiliation:
State Key Laboratory of Coastal and Offshore EngineeringDalian University of TechnologyDalian, China
J.-Q. Jia
Affiliation:
State Key Laboratory of Coastal and Offshore EngineeringDalian University of TechnologyDalian, China
J.-C. Zhang
Affiliation:
State Key Laboratory of Coastal and Offshore EngineeringDalian University of TechnologyDalian, China
*
*Corresponding author (fengshuotougao@126.com)
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Abstract

Proper monitor planning is a vital component of structural health monitoring (SHM) project. An extremely important part of the monitor planning is the placement of sensors, usually in the form of acceleration sensors. For the placement of three-dimensional acceleration sensors, the state of practice is to select the sensor configuration by previous experiences. However, this results in a waste of many sensors. A novel method called siege ant colony algorithm (SAC) is proposed in this paper. This method is built on the previous ant colony optimization (ACO) in the direction of improving efficiency and accuracy when applied to optimal sensor placement (OSP) problems in large-scale structure monitoring. This method is applied and compared with standard approaches using the Hanjiang transmission tower.

Keywords

Structural health monitoringModal identificationOptimal sensor placementSiege ant colony algorithm
Type
Research Article
Information
Journal of Mechanics , Volume 33 , Issue 2 , April 2017 , pp. 269 - 277
Copyright
Copyright © The Society of Theoretical and Applied Mechanics 2017 

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