基于偏微分方程和常微分方程耦合的组织灌注多尺度界面问题分析。

IF 1.6 4区 数学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Lorena Bociu, Matthew Broussard, Giovanna Guidoboni, Sarah Strikwerda
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引用次数: 0

摘要

在生物力学中,局部现象,如组织灌注,与周围血液循环的整体特征密切相关。在本文中,我们提出了一个异质模型,其中通过流体流过可变形多孔介质方程对组织灌注进行局部,准确的3D描述,与循环其余部分的系统,0D,集总模型相结合,其中流体流过血管网络通过电流流过电路的模拟来描述。这代表了一种多尺度策略,该策略将用于特定组织区域的初始边值问题与周围循环系统的初始值问题耦合在一起。这种PDE/ODE耦合导致界面条件强制质量的连续性和不同尺度下模型之间的应力平衡,并且需要仔细考虑解决这种界面不匹配。所得到的系统涉及混合型偏微分方程,其界面条件取决于非线性偏微分方程。本文给出了这种多尺度界面耦合解的局部存在性的一个新结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ANALYSIS OF A MULTISCALE INTERFACE PROBLEM BASED ON THE COUPLING OF PARTIAL AND ORDINARY DIFFERENTIAL EQUATIONS TO MODEL TISSUE PERFUSION.

In biomechanics, local phenomena, such as tissue perfusion, are strictly related to the global features of the surrounding blood circulation. In this paper, we propose a heterogeneous model where a local, accurate, 3D description of tissue perfusion by means of fluid flows through deformable porous media equations is coupled with a systemic, 0D, lumped model of the remainder of the circulation, where the fluid flow through a vascular network is described via its analog with a current flowing through an electric circuit. This represents a multiscale strategy, which couples an initial boundary value problem to be used in a specific tissue region with an initial value problem in the surrounding circulatory system. This PDE/ODE coupling leads to interface conditions enforcing the continuity of mass and the balance of stresses across models at different scales, and careful consideration is taken to address this interface mismatch. The resulting system involves PDEs of mixed type with interface conditions depending on nonlinear ODEs. A new result on local existence of solutions for this multiscale interface coupling is provided in this article.

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来源期刊
Multiscale Modeling & Simulation
Multiscale Modeling & Simulation 数学-数学跨学科应用
CiteScore
2.80
自引率
6.20%
发文量
45
审稿时长
6-12 weeks
期刊介绍: Centered around multiscale phenomena, Multiscale Modeling and Simulation (MMS) is an interdisciplinary journal focusing on the fundamental modeling and computational principles underlying various multiscale methods. By its nature, multiscale modeling is highly interdisciplinary, with developments occurring independently across fields. A broad range of scientific and engineering problems involve multiple scales. Traditional monoscale approaches have proven to be inadequate, even with the largest supercomputers, because of the range of scales and the prohibitively large number of variables involved. Thus, there is a growing need to develop systematic modeling and simulation approaches for multiscale problems. MMS will provide a single broad, authoritative source for results in this area.
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