The Statistics of Crumpled Paper
Eric Sultan (LPS), Arezki Boudaoud (LPS)

TL;DR
This paper presents a statistical analysis of crumpled paper using a minimal 1D model, revealing how segment length distributions evolve from log-normal to Gamma laws as confinement increases, and identifying critical jamming behavior.
Contribution
It introduces a simple 1D model for crumpled paper and predicts the distribution of segment lengths and critical behavior under confinement.
Findings
Segment length distribution is log-normal at low confinement.
At high confinement, the system exhibits jamming with Gamma-distributed segment lengths.
The Gamma distribution parameter relates to the number of layers in the system.
Abstract
A statistical study of crumpled paper is allowed by a minimal 1D model: a self-avoiding line bent at sharp angles -- in which resides the elastic energy -- put in a confining potential. Many independent equilibrium configurations are generated numerically and their properties are investigated. At small confinement, the distribution of segment lengths is log-normal in agreement with previous predictions and experiments. At high confinement, the system approaches a jammed state with a critical behavior, whereas the length distribution follows a Gamma law which parameter is predicted as a function of the number of layers in the system.
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