Abstract
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.
Highlights
Multilayered fibre-reinforcement composite materials are nowadays widely applied in many engineering structures, before all — but — in aircraft and automotive manufacturing
The problem studied in this work is related to the necessity to avoid resonance phenomenon in structures subjected to an external load with a priori known excitation frequency p
The values of the objective function are in this paper calculated using Artificial Neural Networks (ANN), the Eq 4 can be given in a form including the ANN application: Λ∗ = arg min {−ANN1(Λ)}
Summary
Multilayered fibre-reinforcement composite materials are nowadays widely applied in many engineering structures, before all — but — in aircraft and automotive manufacturing. The composite structures are durable and reliable, their dynamic behaviour is not as widely studied and tested as in case of structures made of traditional materials (e.g. steel). The problem studied in this work is related to the necessity to avoid resonance phenomenon in structures subjected to an external load with a priori known excitation frequency p. The optimisation problem of maximisation of f1 or creating the maximal gap around p is solved using one of the evolutionary algorithms, namely Particle Swarm Optimisation (PSO) (see [2]). The control variables are the data describing the fibre angles in each of the composite layers (so-called stacking sequence), while the optimised values are either f1 or the width of the gap around excitation frequency p
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
