An Efficient Staggered Scheme for Solving the Poromechanics Problem of Quasi-Static Cardiac Perfusion

IF 2.2 4区 医学 Q3 ENGINEERING, BIOMEDICAL
Xuan Wang, Li Cai, Pengfei Ma, Hao Gao
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引用次数: 0

Abstract

The ventricles can be considered a type of poroelastic material, where the mass and pressure of the interstitial fluid, along with the displacement of the skeleton, are the three primary physical quantities of interest. Based on the free energy function of the poroelastic material, we propose a simplified model that requires only two fields to be directly solved, with another quantity obtained through post-processing. To solve this model, we first discretize the equations with the backward Euler scheme and finite element method, leading to a nonlinear system of equations, which can be solved using the Newton method in a monolithic way. For computational efficiency, we proposed a staggered scheme, where the large nonlinear system is divided into two smaller independent systems, and each only solves for one field using the Newton method. The numerical results showed the staggered scheme is more efficient than the monolithic scheme and that the two schemes achieve the same results, and are also in good agreement with those reported in the literature. Finally, we applied the staggered scheme to ventricular myocardial perfusion models and obtained the blood perfusion patterns in the myocardium during the cardiac systole.

解决准静态心脏灌注孔力学问题的高效交错方案
心室可以被认为是一种孔隙弹性材料,其中间质液的质量和压力以及骨骼的位移是三个主要的物理量。基于孔弹性材料的自由能函数,我们提出了一个简化模型,只需要直接求解两个场,另一个量通过后处理得到。为了求解该模型,我们首先用后向欧拉格式和有限元法将方程离散化,得到一个非线性方程组,该方程组可以用牛顿法整体求解。为了提高计算效率,我们提出了一种交错方案,将大型非线性系统分为两个较小的独立系统,每个系统只使用牛顿法求解一个场。数值结果表明,交错方案比单片方案效率更高,两种方案的结果相同,且与文献报道的结果吻合较好。最后,我们将交错方案应用于心室心肌灌注模型,得到心脏收缩期心肌血流灌注模式。
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来源期刊
International Journal for Numerical Methods in Biomedical Engineering
International Journal for Numerical Methods in Biomedical Engineering ENGINEERING, BIOMEDICAL-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.50
自引率
9.50%
发文量
103
审稿时长
3 months
期刊介绍: All differential equation based models for biomedical applications and their novel solutions (using either established numerical methods such as finite difference, finite element and finite volume methods or new numerical methods) are within the scope of this journal. Manuscripts with experimental and analytical themes are also welcome if a component of the paper deals with numerical methods. Special cases that may not involve differential equations such as image processing, meshing and artificial intelligence are within the scope. Any research that is broadly linked to the wellbeing of the human body, either directly or indirectly, is also within the scope of this journal.
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