自然现象的数学建模

IF 2.6 4区 数学 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
A. Decoene, Sebastien Martin, Chabane Meziane
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引用次数: 0

摘要

我们提出了一种用于粘性流体中活性薄结构数值模拟的分层数学模型,并将其应用于粘液运输。我们的目的是模拟大型纤毛林,分析流动中产生的集体动力学及其对粘液运输效率的影响。在三维模型中,我们对纤毛进行了单独描述,并研究了它们对流体的共同作用。该模型建立在三维斯托克斯问题的基础上,其中的奇异源项代表了 1d 纤毛对流体(包括背景流)的作用(使问题非局部化)。纤毛层和粘液之间的表面张力也被考虑在内。根据三维模型,我们还推导出了一个一维空间平均模型,描述了纤毛推动粘液平均速度的动态变化,从而降低了计算成本,并仍然提供了运输效率的有用特征。分析了模型的数学特性(在合适的函数空间中解的存在性和唯一性)。数值模拟强调了在纤毛密集的情况下,关键参数对粘液纤毛运输效率的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mathematical Modelling of Natural Phenomena
We propose a hierarchy of mathematical models for the numerical simulation of active thin structures in a viscous fluid and its application to mucociliary transport. Our aim is to simulate large forests of cilia and analyze the collective dynamics arising in the flow, as well as their impact on the efficiency of the mucus transport. In a 3d model we describe the cilia individually and study their joint actions on the fluid. The model is built upon a 3d Stokes problem with singular source terms that represent the action of the 1d cilia on the fluid, including the background flow (making the problem nonlocal). Surface tension between the periciliary layer and the mucus is taken into account. From the 3d model we also derive a 1d space averaged model, describing the dynamics of the mean velocity of the mucus that is propelled by the cilia, hence allowing lower computational costs and still providing useful characterization of the efficiency of the transport. Mathematical properties of the models (existence and uniqueness of solutions in suitable functional spaces) are analyzed. Numerical simulations highlight the influence of critical parameters on the efficiency of the mucociliary transport in the case of dense forests of cilia.
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来源期刊
Mathematical Modelling of Natural Phenomena
Mathematical Modelling of Natural Phenomena MATHEMATICAL & COMPUTATIONAL BIOLOGY-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
5.20
自引率
0.00%
发文量
46
审稿时长
6-12 weeks
期刊介绍: The Mathematical Modelling of Natural Phenomena (MMNP) is an international research journal, which publishes top-level original and review papers, short communications and proceedings on mathematical modelling in biology, medicine, chemistry, physics, and other areas. The scope of the journal is devoted to mathematical modelling with sufficiently advanced model, and the works studying mainly the existence and stability of stationary points of ODE systems are not considered. The scope of the journal also includes applied mathematics and mathematical analysis in the context of its applications to the real world problems. The journal is essentially functioning on the basis of topical issues representing active areas of research. Each topical issue has its own editorial board. The authors are invited to submit papers to the announced issues or to suggest new issues. Journal publishes research articles and reviews within the whole field of mathematical modelling, and it will continue to provide information on the latest trends and developments in this ever-expanding subject.
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