• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一种用于描述脑白质中泊松效应的奥格登超弹性三维微观力学模型。

An Ogden hyperelastic 3D micromechanical model to depict Poynting effect in brain white matter.

作者信息

Agarwal Mohit, Pelegri Assimina A

机构信息

Mechanical and Aerospace Engineering Rutgers, The State University of New Jersey, New Brunswick, NJ, USA.

出版信息

Heliyon. 2024 Feb 8;10(3):e25379. doi: 10.1016/j.heliyon.2024.e25379. eCollection 2024 Feb 15.

DOI:10.1016/j.heliyon.2024.e25379
PMID:38371981
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10873664/
Abstract

Shear and torsional load on soft solids such as brain white matter purportedly exhibits the Poynting Effect. It is a typical nonlinear phenomenon associated with soft materials whereby they tend to elongate (positive Poynting effect) or contract (negative Poynting effect) in a direction perpendicular to the shearing or twisting plane. In this research, a novel 3D micromechanical Finite Element Model (FEM) has been formulated to describe the Poynting effect in bi-phasic modeled brain white matter (BWM) representative volume element (RVE) with axons tracts embedded in surrounding extracellular matrix (ECM) for simulating brain matter's response to pure and simple shear. In the presented BWM 3D FEM, nonlinear Ogden hyper-elastic material model is deployed to interpret axons and ECM material phases. The modeled bi-phasic RVEs have axons tied to the surrounding ECM. In this proof-of-concept (POC) FEM, three simple shear loading configurations and a pure shear case were analyzed. Root mean square deviation (RMSD) was calculated for stress and deformation response plots to understand the effect of axon-ECM orientations and loading conditions on the degree of Poynting behavior. Variations in normal stresses (S11, S22, or S33) perpendicular to the shear plane underscored the significance of axonal fiber-matrix interactions. From the simulated ensemble of cases, a transitional dominance trend was noticed, as simple sheared axons showed pronounced Poynting behavior, but shear deformation build-up in the purely sheared brain model exhibited the highest Poynting behavior at higher strain % limits. At lower strain limits, simple shear imparted across and perpendicular to axonal tract directions emerged as the dominant Poynting effect configurations. At high strains, the stress-strain% plots manifested mild strain stiffening effects and bending stresses in purely sheared axons, substantiated the strong non-linearity in brain tissues' response.

摘要

据称,诸如脑白质等软固体上的剪切力和扭转载荷会表现出坡印廷效应。这是一种与软材料相关的典型非线性现象,即软材料倾向于在垂直于剪切或扭转平面的方向上伸长(正坡印廷效应)或收缩(负坡印廷效应)。在本研究中,已构建了一种新颖的三维微观力学有限元模型(FEM),用于描述双相建模脑白质(BWM)代表性体积单元(RVE)中的坡印廷效应,其中轴突束嵌入周围的细胞外基质(ECM)中,以模拟脑物质对纯简单剪切的响应。在提出的BWM三维有限元模型中,采用非线性奥格登超弹性材料模型来解释轴突和ECM材料相。建模的双相RVE中的轴突与周围的ECM相连。在这个概念验证(POC)有限元模型中,分析了三种简单剪切加载配置和一个纯剪切情况。计算了应力和变形响应图的均方根偏差(RMSD),以了解轴突-ECM取向和加载条件对坡印廷行为程度的影响。垂直于剪切平面的法向应力(S11、S22或S33)的变化突出了轴突纤维-基质相互作用的重要性。从模拟的案例集合中,注意到一种过渡性的主导趋势,因为简单剪切的轴突表现出明显的坡印廷行为,但在纯剪切脑模型中的剪切变形积累在较高应变百分比极限下表现出最高的坡印廷行为。在较低应变极限下,横跨轴突束方向和垂直于轴突束方向施加的简单剪切成为主导的坡印廷效应配置。在高应变下,应力-应变%图显示纯剪切轴突中有轻微的应变硬化效应和弯曲应力,证实了脑组织响应中的强非线性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/650b16f2d1da/gr17.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/9ce2ecdbbc40/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/7c714d3279d4/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/4c387d23d355/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/357d18cec0f4/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/6b28b03c71b4/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/cd46a440e5c1/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/59bfba02fe21/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/39ea73d4b6ca/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/f42642cb6ef1/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/6ec8e9c14c7f/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/bb42a5bdde28/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/6d05a50215f8/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/82e07a4323ba/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/66a59082287b/gr14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/58d46592c868/gr15.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/8096fd304549/gr16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/650b16f2d1da/gr17.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/9ce2ecdbbc40/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/7c714d3279d4/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/4c387d23d355/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/357d18cec0f4/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/6b28b03c71b4/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/cd46a440e5c1/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/59bfba02fe21/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/39ea73d4b6ca/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/f42642cb6ef1/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/6ec8e9c14c7f/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/bb42a5bdde28/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/6d05a50215f8/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/82e07a4323ba/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/66a59082287b/gr14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/58d46592c868/gr15.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/8096fd304549/gr16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bee/10873664/650b16f2d1da/gr17.jpg

相似文献

1
An Ogden hyperelastic 3D micromechanical model to depict Poynting effect in brain white matter.一种用于描述脑白质中泊松效应的奥格登超弹性三维微观力学模型。
Heliyon. 2024 Feb 8;10(3):e25379. doi: 10.1016/j.heliyon.2024.e25379. eCollection 2024 Feb 15.
2
Oligodendrocyte tethering effect on hyperelastic 3D response of axons in white matter.少突胶质细胞对脑白质中轴突超弹性 3D 反应的束缚作用。
J Mech Behav Biomed Mater. 2022 Oct;134:105394. doi: 10.1016/j.jmbbm.2022.105394. Epub 2022 Aug 2.
3
Micromechanics of brain white matter tissue: A fiber-reinforced hyperelastic model using embedded element technique.脑白质组织的细观力学:基于嵌入式元素技术的纤维增强超弹性模型。
J Mech Behav Biomed Mater. 2018 Apr;80:194-202. doi: 10.1016/j.jmbbm.2018.02.002. Epub 2018 Feb 3.
4
A micromechanical hyperelastic modeling of brain white matter under large deformation.大变形下脑白质的微观力学超弹性建模
J Mech Behav Biomed Mater. 2009 Jul;2(3):243-54. doi: 10.1016/j.jmbbm.2008.08.003. Epub 2008 Aug 30.
5
Bidirectional hyperelastic characterization of brain white matter tissue.脑白质组织的双向超弹性特征
Biomech Model Mechanobiol. 2023 Apr;22(2):495-513. doi: 10.1007/s10237-022-01659-1. Epub 2022 Dec 22.
6
Visco-hyperelastic characterization of human brain white matter micro-level constituents in different strain rates.不同应变速率下人脑白质微观成分的黏超弹性特征。
Med Biol Eng Comput. 2020 Sep;58(9):2107-2118. doi: 10.1007/s11517-020-02228-3. Epub 2020 Jul 15.
7
A Three-Dimensional Statistical Volume Element for Histology Informed Micromechanical Modeling of Brain White Matter.用于脑白质组织学信息启发的细观力学建模的三维统计体素。
Ann Biomed Eng. 2020 Apr;48(4):1337-1353. doi: 10.1007/s10439-020-02458-4. Epub 2020 Jan 21.
8
A micromechanical procedure for viscoelastic characterization of the axons and ECM of the brainstem.一种用于脑干部位轴突和细胞外基质粘弹性特性的微机械方法。
J Mech Behav Biomed Mater. 2014 Feb;30:290-9. doi: 10.1016/j.jmbbm.2013.11.010. Epub 2013 Nov 22.
9
Fiber orientation effects in simple shearing of fibrous soft tissues.纤维性软组织简单剪切中的纤维取向效应
J Biomech. 2017 Nov 7;64:131-135. doi: 10.1016/j.jbiomech.2017.09.018. Epub 2017 Sep 27.
10
A micromechanical procedure for modelling the anisotropic mechanical properties of brain white matter.一种用于模拟脑白质各向异性力学特性的微机械方法。
Comput Methods Biomech Biomed Engin. 2009 Jun;12(3):249-62. doi: 10.1080/10255840903097871.

引用本文的文献

1
Systematic analysis of constitutive models of brain tissue materials based on compression tests.基于压缩试验的脑组织材料本构模型系统分析
Heliyon. 2024 Sep 16;10(18):e37979. doi: 10.1016/j.heliyon.2024.e37979. eCollection 2024 Sep 30.

本文引用的文献

1
Exponents of the one-term Ogden model: insights from simple shear.单参数 Ogden 模型的指数:简单剪切的启示。
Philos Trans A Math Phys Eng Sci. 2022 Oct 17;380(2234):20210328. doi: 10.1098/rsta.2021.0328. Epub 2022 Aug 29.
2
Oligodendrocyte tethering effect on hyperelastic 3D response of axons in white matter.少突胶质细胞对脑白质中轴突超弹性 3D 反应的束缚作用。
J Mech Behav Biomed Mater. 2022 Oct;134:105394. doi: 10.1016/j.jmbbm.2022.105394. Epub 2022 Aug 2.
3
The effect of fiber-matrix interaction on the kinking instability arising in the torsion of stretched fibrous biofilaments.
纤维-基体相互作用对拉伸纤维生物丝扭转中出现的扭结不稳定性的影响。
J Mech Behav Biomed Mater. 2021 Dec;124:104782. doi: 10.1016/j.jmbbm.2021.104782. Epub 2021 Aug 17.
4
Inverted and Programmable Poynting Effects in Metamaterials.在超材料中实现反转和可编程的坡印廷效应。
Adv Sci (Weinh). 2021 Oct;8(20):e2102279. doi: 10.1002/advs.202102279. Epub 2021 Aug 17.
5
The effect of fiber-matrix interaction on the Poynting effect for torsion of fibrous soft biomaterials.纤维-基体相互作用对纤维状软生物材料扭转的坡印廷效应的影响。
J Mech Behav Biomed Mater. 2021 Jun;118:104410. doi: 10.1016/j.jmbbm.2021.104410. Epub 2021 Feb 25.
6
Poynting effect of brain matter in torsion.扭体中的脑物质的坡印廷效应。
Soft Matter. 2019 Jun 26;15(25):5147-5153. doi: 10.1039/c9sm00131j.
7
Finite element models and material data for analysis of infant head impacts.用于分析婴儿头部撞击的有限元模型和材料数据。
Heliyon. 2018 Dec 8;4(12):e01010. doi: 10.1016/j.heliyon.2018.e01010. eCollection 2018 Dec.
8
Viscoelastic parameter identification of human brain tissue.人脑组织的粘弹性参数识别
J Mech Behav Biomed Mater. 2017 Oct;74:463-476. doi: 10.1016/j.jmbbm.2017.07.014. Epub 2017 Jul 11.
9
Mechanical characterization of human brain tissue.人脑组织的力学特性
Acta Biomater. 2017 Jan 15;48:319-340. doi: 10.1016/j.actbio.2016.10.036. Epub 2016 Oct 27.
10
Temperature-dependent elastic properties of brain tissues measured with the shear wave elastography method.用剪切波弹性成像法测量脑组织的温度依赖性弹性特性。
J Mech Behav Biomed Mater. 2017 Jan;65:652-656. doi: 10.1016/j.jmbbm.2016.09.026. Epub 2016 Sep 21.