MATEC Web Conf.
Volume 285, 201916th Symposium of Structural Dynamics (DYNKON 2019)
|Number of page(s)||6|
|Published online||12 July 2019|
Frequency optimisation of composite cylinder using an evolutionary algorithm and neural networks
Rzeszów University of Technology, Faculty of Civil and Environmental Engineering and Architecture
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The paper deals with the optimisation of dynamic properties of a composite cantilever cylinder. The optimised parameters are both the fundamental natural frequency f1 as well as the gap in frequency space around a selected external excitation force allowing to avoid the resonance phenomenon. The optimisation is performed using a novel approach combining particle swarm optimisation and artificial neural networks. The evolutionary algorithms are used to solve the optimisation problem with many local minima while neural networks are used to substitute time-consuming finite element calculations of the minimisation problem objective function.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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