Shape optimization of buckling-based deployable stiff structures
Lee, Ho Min ; Yoon, Gil Ho ; Engqvist, Jonas LU ; Ristinmaa, Matti LU
and Wallin, Mathias
LU
(2024)
In Mechanism and Machine Theory
195.
- Abstract
This study considers deployable structures and presents a novel optimization method that aims to improve the stiffness at the fully deployed state. The considered structures consist of curved beams that deploy through buckling when rotated. The optimization aims to maximize the structural tangent stiffness by modifying the shape of the beam elements. To accurately predict the deformation, Finite Element Method (FEM) simulations were conducted. A design with an increase of up to 19.6% in structural tangent stiffness was achieved, while conserving the structural volume. The approach is validated by manufacturing the deployable structures using laser cutting and performing compression tests. Experimental results show consistency within a... (More)
This study considers deployable structures and presents a novel optimization method that aims to improve the stiffness at the fully deployed state. The considered structures consist of curved beams that deploy through buckling when rotated. The optimization aims to maximize the structural tangent stiffness by modifying the shape of the beam elements. To accurately predict the deformation, Finite Element Method (FEM) simulations were conducted. A design with an increase of up to 19.6% in structural tangent stiffness was achieved, while conserving the structural volume. The approach is validated by manufacturing the deployable structures using laser cutting and performing compression tests. Experimental results show consistency within a 5% range with the optimization results. These findings support the implementation of the optimization scheme for achieving optimum structural designs of deployable structures.
(Less)
- author
- Lee, Ho Min
; Yoon, Gil Ho
; Engqvist, Jonas
LU
; Ristinmaa, Matti
LU
and Wallin, Mathias
LU
- organization
- publishing date
- 2024-05
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Buckling-induced deployment, Deployable structure, Shape optimization, Tangent stiffness
- in
- Mechanism and Machine Theory
- volume
- 195
- article number
- 105605
- publisher
- Elsevier
- external identifiers
-
- scopus:85184668642
- ISSN
- 0094-114X
- DOI
- 10.1016/j.mechmachtheory.2024.105605
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2024 The Author(s)
- id
- 818b6352-5193-4ff6-83af-e456e815420e
- date added to LUP
- 2024-03-07 08:34:38
- date last changed
- 2024-03-08 09:59:48
@article{818b6352-5193-4ff6-83af-e456e815420e,
abstract = {{<p>This study considers deployable structures and presents a novel optimization method that aims to improve the stiffness at the fully deployed state. The considered structures consist of curved beams that deploy through buckling when rotated. The optimization aims to maximize the structural tangent stiffness by modifying the shape of the beam elements. To accurately predict the deformation, Finite Element Method (FEM) simulations were conducted. A design with an increase of up to 19.6% in structural tangent stiffness was achieved, while conserving the structural volume. The approach is validated by manufacturing the deployable structures using laser cutting and performing compression tests. Experimental results show consistency within a 5% range with the optimization results. These findings support the implementation of the optimization scheme for achieving optimum structural designs of deployable structures.</p>}},
author = {{Lee, Ho Min and Yoon, Gil Ho and Engqvist, Jonas and Ristinmaa, Matti and Wallin, Mathias}},
issn = {{0094-114X}},
keywords = {{Buckling-induced deployment; Deployable structure; Shape optimization; Tangent stiffness}},
language = {{eng}},
publisher = {{Elsevier}},
series = {{Mechanism and Machine Theory}},
title = {{Shape optimization of buckling-based deployable stiff structures}},
url = {{http://dx.doi.org/10.1016/j.mechmachtheory.2024.105605}},
doi = {{10.1016/j.mechmachtheory.2024.105605}},
volume = {{195}},
year = {{2024}},
}