Random close packing fraction of bidisperse discs: theoretical derivation

Fuente: arXiv
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Auteur principal: Blumenfeld, Raphael
Format: Preprint
Publié: 2025
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author Blumenfeld, Raphael
author_facet Blumenfeld, Raphael
contents Predicting theoretically the highest density, which a disordered packing of discs can achieve, has been a long-standing unresolved problem. Such predictions are hindered by two difficulties - the dependence of the density on the packing procedure and ensuring disorder. A theory that overcomes these difficulties has been developed recently for mono-disperse disc packing~\cite{Bl21}. However, to minimise order, experiments and numerical simulations often use two-size discs and a prediction of the highest possible packing fraction, $ϕ_{RCP}$, for these packings is arguably more useful. This problem is more complex because in such packings, $ϕ_{RCP}$ is not a number but a function of the sizes ratio, $D$, and concentrations, $p$, of the disc types. A disorder-guaranteeing theory is formulated here to derive $ϕ_{RCP}(p,D)$ under some assumptions, using the concept of the cell order distribution. Exact upper and lower bounds on the densest disordered packing fraction are also derived.
format Preprint
id arxiv_https___arxiv_org_abs_2509_20132
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Random close packing fraction of bidisperse discs: theoretical derivation
Blumenfeld, Raphael
Soft Condensed Matter
Disordered Systems and Neural Networks
Mathematical Physics
Predicting theoretically the highest density, which a disordered packing of discs can achieve, has been a long-standing unresolved problem. Such predictions are hindered by two difficulties - the dependence of the density on the packing procedure and ensuring disorder. A theory that overcomes these difficulties has been developed recently for mono-disperse disc packing~\cite{Bl21}. However, to minimise order, experiments and numerical simulations often use two-size discs and a prediction of the highest possible packing fraction, $ϕ_{RCP}$, for these packings is arguably more useful. This problem is more complex because in such packings, $ϕ_{RCP}$ is not a number but a function of the sizes ratio, $D$, and concentrations, $p$, of the disc types. A disorder-guaranteeing theory is formulated here to derive $ϕ_{RCP}(p,D)$ under some assumptions, using the concept of the cell order distribution. Exact upper and lower bounds on the densest disordered packing fraction are also derived.
title Random close packing fraction of bidisperse discs: theoretical derivation
topic Soft Condensed Matter
Disordered Systems and Neural Networks
Mathematical Physics
url https://arxiv.org/abs/2509.20132