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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2023
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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. |
format | Online Article Text |
id | pubmed-9942863 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
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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