Cargando…

Memory from coupled instabilities in unfolded crumpled sheets

Crumpling an ordinary thin sheet transforms it into a structure with unusual mechanical behaviors, such as enhanced rigidity, emission of crackling noise, slow relaxations, and memory retention. A central challenge in explaining these behaviors lies in understanding the contribution of the complex g...

Descripción completa

Detalles Bibliográficos
Autores principales: Shohat, Dor, Hexner, Daniel, Lahini, Yoav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9282240/
https://www.ncbi.nlm.nih.gov/pubmed/35867743
http://dx.doi.org/10.1073/pnas.2200028119
_version_ 1784747064121360384
author Shohat, Dor
Hexner, Daniel
Lahini, Yoav
author_facet Shohat, Dor
Hexner, Daniel
Lahini, Yoav
author_sort Shohat, Dor
collection PubMed
description Crumpling an ordinary thin sheet transforms it into a structure with unusual mechanical behaviors, such as enhanced rigidity, emission of crackling noise, slow relaxations, and memory retention. A central challenge in explaining these behaviors lies in understanding the contribution of the complex geometry of the sheet. Here we combine cyclic driving protocols and three-dimensional (3D) imaging to correlate the global mechanical response and the underlying geometric transformations in unfolded crumpled sheets. We find that their response to cyclic strain is intermittent, hysteretic, and encodes a memory of the largest applied compression. Using 3D imaging we show that these behaviors emerge due to an interplay between localized and interacting geometric instabilities in the sheet. A simple model confirms that these minimal ingredients are sufficient to explain the observed behaviors. Finally, we show that after training, multiple memories can be encoded, a phenomenon known as return point memory. Our study lays the foundation for understanding the complex mechanics of crumpled sheets and presents an experimental and theoretical framework for the study of memory formation in systems of interacting instabilities.
format Online
Article
Text
id pubmed-9282240
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher National Academy of Sciences
record_format MEDLINE/PubMed
spelling pubmed-92822402023-01-06 Memory from coupled instabilities in unfolded crumpled sheets Shohat, Dor Hexner, Daniel Lahini, Yoav Proc Natl Acad Sci U S A Physical Sciences Crumpling an ordinary thin sheet transforms it into a structure with unusual mechanical behaviors, such as enhanced rigidity, emission of crackling noise, slow relaxations, and memory retention. A central challenge in explaining these behaviors lies in understanding the contribution of the complex geometry of the sheet. Here we combine cyclic driving protocols and three-dimensional (3D) imaging to correlate the global mechanical response and the underlying geometric transformations in unfolded crumpled sheets. We find that their response to cyclic strain is intermittent, hysteretic, and encodes a memory of the largest applied compression. Using 3D imaging we show that these behaviors emerge due to an interplay between localized and interacting geometric instabilities in the sheet. A simple model confirms that these minimal ingredients are sufficient to explain the observed behaviors. Finally, we show that after training, multiple memories can be encoded, a phenomenon known as return point memory. Our study lays the foundation for understanding the complex mechanics of crumpled sheets and presents an experimental and theoretical framework for the study of memory formation in systems of interacting instabilities. National Academy of Sciences 2022-07-06 2022-07-12 /pmc/articles/PMC9282240/ /pubmed/35867743 http://dx.doi.org/10.1073/pnas.2200028119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Physical Sciences
Shohat, Dor
Hexner, Daniel
Lahini, Yoav
Memory from coupled instabilities in unfolded crumpled sheets
title Memory from coupled instabilities in unfolded crumpled sheets
title_full Memory from coupled instabilities in unfolded crumpled sheets
title_fullStr Memory from coupled instabilities in unfolded crumpled sheets
title_full_unstemmed Memory from coupled instabilities in unfolded crumpled sheets
title_short Memory from coupled instabilities in unfolded crumpled sheets
title_sort memory from coupled instabilities in unfolded crumpled sheets
topic Physical Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9282240/
https://www.ncbi.nlm.nih.gov/pubmed/35867743
http://dx.doi.org/10.1073/pnas.2200028119
work_keys_str_mv AT shohatdor memoryfromcoupledinstabilitiesinunfoldedcrumpledsheets
AT hexnerdaniel memoryfromcoupledinstabilitiesinunfoldedcrumpledsheets
AT lahiniyoav memoryfromcoupledinstabilitiesinunfoldedcrumpledsheets