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描述活性多孔弹性介质的有效方程。

Effective equations governing an active poroelastic medium.

作者信息

Collis J, Brown D L, Hubbard M E, O'Dea R D

机构信息

School of Mathematical Sciences , University of Nottingham , University Park, Nottingham NG7 2RD, UK.

出版信息

Proc Math Phys Eng Sci. 2017 Feb;473(2198):20160755. doi: 10.1098/rspa.2016.0755. Epub 2017 Feb 22.

Abstract

In this work, we consider the spatial homogenization of a coupled transport and fluid-structure interaction model, to the end of deriving a system of effective equations describing the flow, elastic deformation and transport in an active poroelastic medium. The 'active' nature of the material results from a morphoelastic response to a chemical stimulant, in which the growth time scale is strongly separated from other elastic time scales. The resulting effective model is broadly relevant to the study of biological tissue growth, geophysical flows (e.g. swelling in coals and clays) and a wide range of industrial applications (e.g. absorbant hygiene products). The key contribution of this work is the derivation of a system of homogenized partial differential equations describing macroscale growth, coupled to transport of solute, that explicitly incorporates details of the structure and dynamics of the microscopic system, and, moreover, admits finite growth and deformation at the pore scale. The resulting macroscale model comprises a Biot-type system, augmented with additional terms pertaining to growth, coupled to an advection-reaction-diffusion equation. The resultant system of effective equations is then compared with other recent models under a selection of appropriate simplifying asymptotic limits.

摘要

在这项工作中,我们考虑一个耦合输运与流固耦合相互作用模型的空间均匀化问题,目的是推导一组有效方程,用以描述活性多孔弹性介质中的流动、弹性变形和输运现象。材料的“活性”源于对化学刺激的形态弹性响应,其中生长时间尺度与其他弹性时间尺度显著不同。所得的有效模型与生物组织生长、地球物理流动(如煤和粘土中的膨胀)以及广泛的工业应用(如吸收性卫生用品)研究密切相关。这项工作的关键贡献在于推导了一组描述宏观尺度生长并与溶质输运相耦合的均匀化偏微分方程组,该方程组明确纳入了微观系统的结构和动力学细节,并且在孔隙尺度上允许有限的生长和变形。所得的宏观尺度模型包括一个Biot型系统,并附加了与生长相关的项,与一个平流 - 反应 - 扩散方程相耦合。然后,在一组适当的简化渐近极限条件下,将所得的有效方程组与其他近期模型进行比较。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/001c/5332613/b215f0687f4a/rspa20160755-g1.jpg

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