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Mechanistic framework for reduced-order models in soft materials: Application to three-dimensional granular intrusion

Soft materials often display complex behaviors that transition through apparent solid- and fluid-like regimes. While a growing number of microscale simulation methods exist for these materials, reduced-order models that encapsulate the macroscale physics are often desired to predict how external bod...

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Detalles Bibliográficos
Autores principales: Agarwal, Shashank, Goldman, Daniel I., Kamrin, Ken
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942863/
https://www.ncbi.nlm.nih.gov/pubmed/36649408
http://dx.doi.org/10.1073/pnas.2214017120
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author Agarwal, Shashank
Goldman, Daniel I.
Kamrin, Ken
author_facet Agarwal, Shashank
Goldman, Daniel I.
Kamrin, Ken
author_sort Agarwal, Shashank
collection PubMed
description Soft materials often display complex behaviors that transition through apparent solid- and fluid-like regimes. While a growing number of microscale simulation methods exist for these materials, reduced-order models that encapsulate the macroscale physics are often desired to predict how external bodies interact with soft media. Such an approach could provide direct insights in diverse situations from impact and penetration problems to locomotion over natural terrains. This work proposes a systematic program to develop three-dimensional (3D) reduced-order models for soft materials from a fundamental basis using continuum symmetries and rheological principles. In particular, we derive a reduced-order, 3D resistive force theory (3D-RFT), which is capable of accurately and quickly predicting the resistive stress distribution on arbitrary-shaped bodies intruding through granular media. Aided by a continuum description of the granular medium, a comprehensive set of spatial symmetry constraints, and a limited amount of reference data, we develop a self-consistent and accurate 3D-RFT. We verify the model capabilities in a wide range of cases and show that it can be quickly recalibrated to different media and intruder surface types. The premises leading to 3D-RFT anticipate application to other soft materials with strongly hyperlocalized intrusion behavior.
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spelling pubmed-99428632023-07-17 Mechanistic framework for reduced-order models in soft materials: Application to three-dimensional granular intrusion Agarwal, Shashank Goldman, Daniel I. Kamrin, Ken Proc Natl Acad Sci U S A Physical Sciences Soft materials often display complex behaviors that transition through apparent solid- and fluid-like regimes. While a growing number of microscale simulation methods exist for these materials, reduced-order models that encapsulate the macroscale physics are often desired to predict how external bodies interact with soft media. Such an approach could provide direct insights in diverse situations from impact and penetration problems to locomotion over natural terrains. This work proposes a systematic program to develop three-dimensional (3D) reduced-order models for soft materials from a fundamental basis using continuum symmetries and rheological principles. In particular, we derive a reduced-order, 3D resistive force theory (3D-RFT), which is capable of accurately and quickly predicting the resistive stress distribution on arbitrary-shaped bodies intruding through granular media. Aided by a continuum description of the granular medium, a comprehensive set of spatial symmetry constraints, and a limited amount of reference data, we develop a self-consistent and accurate 3D-RFT. We verify the model capabilities in a wide range of cases and show that it can be quickly recalibrated to different media and intruder surface types. The premises leading to 3D-RFT anticipate application to other soft materials with strongly hyperlocalized intrusion behavior. National Academy of Sciences 2023-01-17 2023-01-24 /pmc/articles/PMC9942863/ /pubmed/36649408 http://dx.doi.org/10.1073/pnas.2214017120 Text en Copyright © 2023 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
Agarwal, Shashank
Goldman, Daniel I.
Kamrin, Ken
Mechanistic framework for reduced-order models in soft materials: Application to three-dimensional granular intrusion
title Mechanistic framework for reduced-order models in soft materials: Application to three-dimensional granular intrusion
title_full Mechanistic framework for reduced-order models in soft materials: Application to three-dimensional granular intrusion
title_fullStr Mechanistic framework for reduced-order models in soft materials: Application to three-dimensional granular intrusion
title_full_unstemmed Mechanistic framework for reduced-order models in soft materials: Application to three-dimensional granular intrusion
title_short Mechanistic framework for reduced-order models in soft materials: Application to three-dimensional granular intrusion
title_sort mechanistic framework for reduced-order models in soft materials: application to three-dimensional granular intrusion
topic Physical Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942863/
https://www.ncbi.nlm.nih.gov/pubmed/36649408
http://dx.doi.org/10.1073/pnas.2214017120
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