Please use this identifier to cite or link to this item:
|Title:||Optimization of piezoelectric patches in smart structures using multi-objective genetic algorithms|
|Abstract:||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.|
|Appears in Collections:||Δημοσιεύσεις σε Συνέδρια|
Files in This Item:
There are no files associated with this item.
Show full item record
Items in CRIS are protected by copyright, with all rights reserved, unless otherwise indicated.