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Bayesian optimisation of hexagonal honeycomb metamaterial

Kuszczak, I; Azam, FI; Bessa, MA; Tan, PJ; Bosi, F; (2023) Bayesian optimisation of hexagonal honeycomb metamaterial. Extreme Mechanics Letters , Article 102078. 10.1016/j.eml.2023.102078. (In press). Green open access

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Abstract

Periodic mechanical metamaterials, such as hexagonal honeycombs, have traditionally been designed with uniform cell walls to simplify manufacturing and modelling. However, recent research has suggested that varying strut thickness within the lattice could improve its mechanical properties. To fully explore this design space, we developed a computational framework that leverages Bayesian optimisation to identify configurations with increased uniaxial effective elastic stiffness and plastic or buckling strength. The best topologies found, representative of relative densities with distinct failure modes, were additively manufactured and tested, resulting in a 54% increase in stiffness without compromising the buckling strength for slender architectures, and a 63% increase in elastic modulus and a 88% increase in plastic strength for higher volume fractions. Our results demonstrate the potential of Bayesian optimisation and solid material redistribution to enhance the performance of mechanical metamaterials.

Type: Article
Title: Bayesian optimisation of hexagonal honeycomb metamaterial
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.eml.2023.102078
Language: English
Additional information: © 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Architected materials, Lattices, Optimisation, Auxetic materials, Machine learning mechanics
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10177302
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