Distributed Branch Points and the Shape of Elastic Surfaces with Constant Negative Curvature
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Final Accepted Manuscript
Affiliation
Department of Mathematics, University of ArizonaIssue Date
2021-01-07Keywords
Branch pointsDiscrete differential geometry
Extreme mechanics
Pseudospherical immersions
Self-similar buckling patterns
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Springer Science and Business Media LLCCitation
Shearman, T.L., Venkataramani, S.C. Distributed Branch Points and the Shape of Elastic Surfaces with Constant Negative Curvature. J Nonlinear Sci 31, 13 (2021).Journal
Journal of Nonlinear ScienceRights
© Springer Science+Business Media, LLC, part of Springer Nature 2021.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
We develop a theory for distributed branch points and investigate their role in determining the shape and influencing the mechanics of thin hyperbolic objects. We show that branch points are the natural topological defects in hyperbolic sheets, they carry a topological index that gives them a degree of robustness, and they can influence the overall morphology of a hyperbolic surface without concentrating energy. We develop a discrete differential geometric approach to study the deformations of hyperbolic objects with distributed branch points. We present evidence that the maximum curvature of surfaces with geodesic radius R containing branch points grow sub-exponentially, 𝑂(𝑒𝑐𝑅√) in contrast to the exponential growth 𝑂(𝑒𝑐′𝑅) for surfaces without branch points. We argue that to optimize norms of the curvature, i.e., the bending energy, distributed branch points are energetically preferred in sufficiently large pseudospherical surfaces. Further, they are distributed so that they lead to fractal-like recursive buckling patterns.Note
12 month embargo; published online 07 January 2021ISSN
0938-8974EISSN
1432-1467Version
Final accepted manuscriptSponsors
Simons Foundation, National Science Foundation.Additional Links
https://arxiv.org/abs/2006.14461ae974a485f413a2113503eed53cd6c53
10.1007/s00332-020-09657-2