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Lookup NU author(s): Dr Pooya Sareh
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2024 The AuthorsConical origami structures are characterized by their substantial out-of-plane stiffness and energy-absorption capacity. Previous investigations have commonly focused on the static characteristics of these lightweight structures. However, the efficient analysis of the natural vibrations of these structures is pivotal for designing conical origami structures with programmable stiffness and mass. In this paper, we propose a novel method to analyze the natural vibrations of such structures by combining a symmetric substructuring method (SSM) and a generalized eigenvalue analysis. SSM exploits the inherent symmetry of the structure to decompose it into a finite set of repetitive substructures. In doing so, we reduce the dimensions of matrices and improve computational efficiency by adopting the stiffness and mass matrices of the substructures in the generalized eigenvalue analysis. Finite element simulations of pin-jointed models are used to validate the computational results of the proposed approach. Moreover, the parametric analysis of the structures demonstrates the influences of the number of segments along the circumference and the radius of the cone on the structural mass and natural frequencies of the structures. Furthermore, we present a comparison between six-fold and four-fold conical origami structures and discuss the influence of various geometric parameters on their natural frequencies. This study provides a strategy for efficiently analyzing the natural vibration of symmetric origami structures and has the potential to contribute to the efficient design and customization of origami metastructures with programmable stiffness.
Author(s): Lu C, Chen Y, Fan W, Feng J, Sareh P
Publication type: Article
Publication status: Published
Journal: Theoretical and Applied Mechanics Letters
Year: 2024
Volume: 14
Issue: 3
Print publication date: 01/05/2024
Online publication date: 16/03/2024
Acceptance date: 13/03/2024
Date deposited: 17/04/2024
ISSN (print): 2095-0349
ISSN (electronic): 2589-0336
Publisher: Elsevier Ltd
URL: https://doi.org/10.1016/j.taml.2024.100517
DOI: 10.1016/j.taml.2024.100517
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