心脏纤维定向液晶的建模

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Computer Methods in Applied Mechanics and Engineering Pub Date : 2025-01-16 DOI:10.1016/j.cma.2024.117710
Nicolás A. Barnafi , Axel Osses
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引用次数: 0

摘要

在这项工作中,我们提出了一个数学模型来描述心室心脏纤维的方向。这些纤维通常被计算为某些谐波势的归一化梯度,因此我们的工作包括在考虑酉范数约束的情况下找到这样一个矢量场满足的方程。由此产生的方程属于弗兰克-奥西恩的向列液晶理论,该理论为心脏纤维提供了大量的数学性质,例如奇点的表征。文献中可用的数值方法计算成本高,并且对于从人类心脏获得的复杂几何图形不够鲁棒,因此我们还提出了一种预置投影梯度下降方案,该方案在测试场景中绕过了这些困难。所得到的模型进一步证实了最近对软组织液晶行为的实验观察,并提供了这种行为的精确数学描述。
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Modeling of cardiac fibers as oriented liquid crystals
In this work we propose a mathematical model that describes the orientation of ventricular cardiac fibers. These fibers are commonly computed as the normalized gradient of certain harmonic potentials, so our work consisted in finding the equations that such a vector field satisfies, considering the unitary norm constraint. The resulting equations belong to the Frank–Oseen theory of nematic liquid crystals, which yield a bulk of mathematical properties to the cardiac fibers, such as the characterization of singularities. The numerical methods available in literature are computationally expensive and not sufficiently robust for the complex geometries obtained from the human heart, so we also propose a preconditioned projected gradient descent scheme that circumvents these difficulties in the tested scenarios. The resulting model further confirms recent experimental observations of liquid crystal behavior of soft tissue, and provides an accurate mathematical description of such behavior.
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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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