Criticality enhances the reinforcement of disordered networks by rigid inclusions

Jordan L. Shivers, Jingchen Feng, Fred C. MacKintosh
{"title":"Criticality enhances the reinforcement of disordered networks by rigid inclusions","authors":"Jordan L. Shivers, Jingchen Feng, Fred C. MacKintosh","doi":"arxiv-2407.19563","DOIUrl":null,"url":null,"abstract":"The mechanical properties of biological materials are spatially\nheterogeneous. Typical tissues are made up of a spanning fibrous extracellular\nmatrix in which various inclusions, such as living cells, are embedded. While\nthe influence of inclusions on the stiffness of common elastic materials such\nas rubber has been studied for decades and can be understood in terms of the\nvolume fraction and shape of inclusions, the same is not true for disordered\nfilamentous and fibrous networks. Recent work has shown that, in isolation,\nsuch networks exhibit unusual viscoelastic behavior indicative of an underlying\nmechanical phase transition controlled by network connectivity and strain. How\nthis behavior is modified when inclusions are present is unclear. Here, we\npresent a theoretical and computational study of the influence of rigid\ninclusions on the mechanics of disordered elastic networks near the\nconnectivity-controlled central force rigidity transition. Combining scaling\ntheory and coarse-grained simulations, we predict and confirm an anomalously\nstrong dependence of the composite stiffness on inclusion volume fraction,\nbeyond that seen in ordinary composites. This stiffening exceeds the\nwell-established volume fraction-dependent stiffening expected in conventional\ncomposites, e.g., as an elastic analogue of the classic volume fraction\ndependent increase in the viscosity of liquids first identified by Einstein. We\nshow that this enhancement is a consequence of the interplay between\ninter-particle spacing and an emergent correlation length, leading to an\neffective finite-size scaling imposed by the presence of inclusions. We outline\nthe expected scaling of the shear modulus and strain fluctuations with the\ninclusion volume fraction and network connectivity, confirm these predictions\nin simulations, and discuss potential experimental tests and implications for\nour predictions in real systems.","PeriodicalId":501040,"journal":{"name":"arXiv - PHYS - Biological Physics","volume":"22 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Biological Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2407.19563","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The mechanical properties of biological materials are spatially heterogeneous. Typical tissues are made up of a spanning fibrous extracellular matrix in which various inclusions, such as living cells, are embedded. While the influence of inclusions on the stiffness of common elastic materials such as rubber has been studied for decades and can be understood in terms of the volume fraction and shape of inclusions, the same is not true for disordered filamentous and fibrous networks. Recent work has shown that, in isolation, such networks exhibit unusual viscoelastic behavior indicative of an underlying mechanical phase transition controlled by network connectivity and strain. How this behavior is modified when inclusions are present is unclear. Here, we present a theoretical and computational study of the influence of rigid inclusions on the mechanics of disordered elastic networks near the connectivity-controlled central force rigidity transition. Combining scaling theory and coarse-grained simulations, we predict and confirm an anomalously strong dependence of the composite stiffness on inclusion volume fraction, beyond that seen in ordinary composites. This stiffening exceeds the well-established volume fraction-dependent stiffening expected in conventional composites, e.g., as an elastic analogue of the classic volume fraction dependent increase in the viscosity of liquids first identified by Einstein. We show that this enhancement is a consequence of the interplay between inter-particle spacing and an emergent correlation length, leading to an effective finite-size scaling imposed by the presence of inclusions. We outline the expected scaling of the shear modulus and strain fluctuations with the inclusion volume fraction and network connectivity, confirm these predictions in simulations, and discuss potential experimental tests and implications for our predictions in real systems.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
临界性增强了刚性夹杂物对无序网络的强化作用
生物材料的机械特性在空间上是异质的。典型的组织由横跨的纤维状细胞外基质构成,其中嵌入了各种内含物,如活细胞。几十年来,人们一直在研究内含物对橡胶等普通弹性材料刚度的影响,并且可以从内含物的体积分数和形状来理解这种影响,但对于无序的丝状和纤维状网络来说,情况却并非如此。最近的研究表明,在孤立的情况下,此类网络表现出不寻常的粘弹性行为,表明其背后的机械相变受网络连通性和应变的控制。目前还不清楚在存在夹杂物的情况下,这种行为会发生怎样的变化。在此,我们将对刚性夹杂物在连通性控制的中心力刚性转变附近对无序弹性网络力学的影响进行理论和计算研究。结合缩放理论和粗粒度模拟,我们预测并证实了复合材料刚度对夹杂物体积分数的异常强依赖性,这种依赖性超出了普通复合材料。这种刚度的增强超出了传统复合材料中已被证实的与体积分数相关的刚度增强,例如,爱因斯坦首次发现的液体粘度增加与体积分数相关的典型弹性类似。我们认为,这种增强是粒子间距和新出现的相关长度之间相互作用的结果,从而导致因夹杂物的存在而产生的有效有限尺寸缩放。我们概述了剪切模量和应变波动与夹杂物体积分数和网络连通性的预期比例关系,在模拟中证实了这些预测,并讨论了可能的实验测试以及我们的预测在实际系统中的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Error Thresholds in Presence of Epistatic Interactions Choice of Reference Surfaces to assess Plant Health through leaf scale temperature monitoring Physical Insights into Electromagnetic Efficiency of Wireless Implantable Bioelectronics Pseudo-RNA with parallel aligned single-strands and periodic base sequence as a new universality class Hydrodynamic hovering of swimming bacteria above surfaces
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1