Journal article
Exploiting dynamic bifurcation in elastic ribbons for mode skipping and selection
- Abstract:
- In this paper, we systematically study the dynamic snap-through behavior of a pre-deformed elastic ribbon by combining theoretical analysis, discrete numerical simulations, and experiments. By rotating one of its clamped ends with controlled angular speed, we observe two snap-through transition paths among the multiple stable configurations of a ribbon in three-dimensional (3D) space; this is different from the classical snap-through of a two-dimensional (2D) bistable beam. Our theoretical model for the static bifurcation analysis is based on the Kirchhoff rod equations, and dynamical simulations are conducted using the Discrete Elastic Rods (DER) algorithm. The planar beam model is also employed for the asymptotic analysis of dynamic snap-through behaviors. The results show that, since the snap-through processes of both planar beams and 3D ribbons are governed by a saddle–node bifurcation, the same scaling law for the delay applies. We further demonstrate that by controlling the velocity of end-rotation, distinct snap-through pathways can be realized. In this way, we may selectively skip specific modes and, moreover, particular final modes can be strategically achieved. Through a parametric study using numerical simulations, we construct general phase diagrams for both mode skipping and selection of snapping ribbons. The work serves as a benchmark for future investigations on dynamic snap-through of thin elastic structures and provides guidelines for the novel design of intelligent mechanical systems.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
-
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(Preview, Accepted manuscript, pdf, 8.6MB, Terms of use)
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- Publisher copy:
- 10.1016/j.jmps.2024.105721
Authors
- Publisher:
- Elsevier
- Journal:
- Journal of the Mechanics and Physics of Solids More from this journal
- Volume:
- 190
- Article number:
- 105721
- Publication date:
- 2024-06-04
- Acceptance date:
- 2024-05-29
- DOI:
- EISSN:
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1873-4782
- ISSN:
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0022-5096
- Language:
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English
- Keywords:
- Pubs id:
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2001739
- Local pid:
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pubs:2001739
- Deposit date:
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2024-05-30
Terms of use
- Copyright holder:
- Elsevier Ltd
- Copyright date:
- 2024
- Rights statement:
- © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
- Notes:
- This is the accepted manuscript version of the article. The final version is available online from Elsevier at https://dx.doi.org/10.1016/j.jmps.2024.105721
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