Salt, S.J., Weldeyesus, A.G., Gilbert, M. orcid.org/0000-0003-4633-2839 et al. (1 more author) (2023) Layout optimization of pin-jointed truss structures with minimum frequency constraints. Engineering Optimization, 55 (8). pp. 1403-1421. ISSN 0305-215X
Abstract
Controlling the frequency response of an engineering component or structure is important in the aerospace and automotive sectors and is a key consideration when seeking a new, more efficient, design for a given component. In this contribution, the standard truss layout optimization procedure is modified to incorporate semidefinite constraints to limit the minimum value of the first natural frequency. Since this increases the computational expense, and reduces the scale of problem that can be solved, a bespoke algorithm incorporating an adaptive ‘member adding’ procedure is proposed and applied to a number of benchmark example problems. It is demonstrated that this allows problems to be solved with relatively fine numerical discretisation, allowing modified structures with an acceptable minimum first natural frequency response to be successfully identified.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution 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: | Layout optimization; Topology optimization; Truss structures; Frequency constraints |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield) |
Funding Information: | Funder Grant number Engineering and Physical Sciences Research Council EP/N023471/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 12 May 2022 09:42 |
Last Modified: | 12 Jul 2024 15:59 |
Status: | Published |
Publisher: | Taylor & Francis |
Refereed: | Yes |
Identification Number: | 10.1080/0305215X.2022.2086539 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:186460 |