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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 106
PROCEEDINGS OF THE TWELFTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY
Edited by:
Paper 222

Optimization of Piezoelectric Patches in Smart Structures using Multi-Objective Genetic Algorithms

G. Foutsitzi1, C. Gogos1, G.E. Stavroulakis2 and N.A. Antoniadis3

1Department of Accounting and Finance, Technological Educational Institution of Epirus, Preveza, Greece
2Institute of Computational Mechanics and Optimization, Department of Production Engineering and Management, Technical University of Crete, Chania, Greece
3Department of Informatics Engineering, Technological Educational Institute of Epirus, Kostakioi, Arta, Greece

Full Bibliographic Reference for this paper
G. Foutsitzi, C. Gogos, G.E. Stavroulakis, N.A. Antoniadis, "Optimization of Piezoelectric Patches in Smart Structures using Multi-Objective Genetic Algorithms", in , (Editors), "Proceedings of the Twelfth International Conference on Computational Structures Technology", Civil-Comp Press, Stirlingshire, UK, Paper 222, 2014. doi:10.4203/ccp.106.222
Keywords: multi-objective genetic algorithms, active vibration control, smart structures, actuator placement, NSGAII..

Summary
In this paper multi-objective genetic algorithms have been used to search for the optimal placement of the piezoelectric sensors and actuators bonded on smart beams. A finite element method based on Timoshenko beam theory is used accounting for the piezoelectric layers. The discrete optimal sensor and actuator location problem is formulated in the framework of a zero-one optimization problem with multi-objective functions as performance measures. A cantilever beam example is considered to demonstrate the performance of the selected multi-objective genetic algorithm which is NSGAII. It is shown that the proposed algorithm is effective in developing optimal Pareto front curves for optimal placement and number of actuators and sensors such that the performance on dynamic responses is also satisfied.

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