Singularities, Structures and Scaling in Deformed Elastic m-Sheets
B. A. DiDonna (1), S. C. Venkataramani (2), T. A. Witten (1), E. M., Kramer (3) ((1) Physics Department, University of Chicago, (2) Mathematics, Department, University of Chicago, (3) Natural Sciences, Mathematics, Department, Simon's Rock College)

TL;DR
This paper investigates how elastic energy condenses into singular structures in deformed elastic sheets of various dimensions, revealing different scaling behaviors depending on the embedding space.
Contribution
It provides a numerical analysis of energy condensation in elastic sheets across different dimensions, identifying distinct scaling behaviors and the influence of embedding dimension.
Findings
Identification of cone and ridge scaling behaviors
Differences in energy condensation based on embedding dimension
Numerical methods for finding minimum energy configurations
Abstract
The crumpling of a thin sheet can be understood as the condensation of elastic energy into a network of ridges which meet in vertices. Elastic energy condensation should occur in response to compressive strain in elastic objects of any dimension greater than 1. We study elastic energy condensation numerically in 2-dimensional elastic sheets embedded in spatial dimensions 3 or 4 and 3-dimensional elastic sheets embedded in spatial dimensions 4 and higher. We represent a sheet as a lattice of nodes with an appropriate energy functional to impart stretching and bending rigidity. Minimum energy configurations are found for several different sets of boundary conditions. We observe two distinct behaviors of local energy density fall-off away from singular points, which we identify as cone scaling or ridge scaling. Using this analysis we demonstrate that there are marked differences in the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
