Optimal design of rainbow elastic metamaterials

Meng, Han, Chronopoulos, Dimitrios, Fabro, Adriano T., Maskery, Ian and Chen, Yanyu (2020) Optimal design of rainbow elastic metamaterials. International Journal of Mechanical Sciences, 165. p. 105185. ISSN 0020-7403

[img]
Preview
Text
Optimal_design_of_rainbow_metamaterial_accepted_version.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0.

Download (1MB) | Preview
Official URL: https://doi.org/10.1016/j.ijmecsci.2019.105185

Abstract

In this study, we present an optimization scheme for the resonator distribution in rainbow metamaterials that are constitutive of a Π-shaped beam with parallel plate insertions and two sets of spatially varying cantilever-mass resonators. To improve the vibration attenuation of the rainbow metamaterials at frequencies of interest, two optimization strategies are proposed, aiming at minimizing the maximum and average receptance values respectively. Objective functions for both single and multiple frequency ranges optimization are set up with the frequency response functions predicted by an analytical model. The masses of the two sets of resonators clamped at different side walls of the Π-shaped beams constitute the set of design variables. Optimization functions are solved out with the employment of the Genetic Algorithm method. Dedicate case studies are subsequently conducted to show the feasibility of the proposed scheme. The receptance values are found greatly reduced within the single and multiple optimization frequency ranges. Moreover, it is found that, the maximum value based objective function could lead to optimal structures with wider bandgaps but weaker vibration attenuation, while the optimal structure by the average value based objective function has the opposing trend with narrower bandgaps but enhanced vibration attenuation. Objective strategies should be selected according to the application requirements.

Item Type: Article
Uncontrolled Keywords: Rainbow metamaterials, Optimization, Genetic Algorithm, Resonator mass, Multi-frequency ranges
Subjects: H100 General Engineering
H800 Chemical, Process and Energy Engineering
H900 Others in Engineering
Department: Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User: Rachel Branson
Date Deposited: 17 Aug 2020 14:09
Last Modified: 31 Jul 2021 12:47
URI: http://nrl.northumbria.ac.uk/id/eprint/44111

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics