Fluid-Structure Interaction Modeling in 3D Cerebral Arteries and Aneurysms

Fluid-Structure Interaction Modeling in 3D Cerebral Arteries and Aneurysms
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3D 脑动脉和动脉瘤中的流固耦合建模

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发表时间:
2018
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影响因子:
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通讯作者:
Yue Yu
Yue Yu
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作者:
Yue Yu

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近年来,由于流固耦合(FSI)问题在生物医学应用中的相关性,人们对它们产生了极大的兴趣。然而,一些困难阻碍了分区 FSI 算法在脑动脉和动脉瘤建模中的发展。例如,动脉壁和血液之间的质量比值相对较小会导致耦合求解器不稳定,动脉壁响应非常复杂,因此难以用经典结构模型描述,患者特定几何形状的精确模拟需要大量的CPU时间,等等。为了解决这些困难,本章考虑了对动脉瘤的适当模型的研究以及这些模型的高效稳定的数值方案的设计。具体来说,我们首先致力于稳定分区的流体-结构相互作用过程并解决附加质量效应,然后开发并使用分数偏微分方程来模拟患者特定动脉瘤的复杂生物力学粘弹性特性。为了验证最佳系数分析,FSI 框架应用于患者特定的动脉瘤,从而证明了所提出的模型和开发的方法的普遍适用性。
In recent years, there have been great interests in fluid-structure interaction (FSI) problems due to their relevance in biomedical applications. However, several difficulties have hindered the development of partitioned FSI algorithms in modeling cerebral arteries and aneurysms. For example, the relatively small values of the mass ratio between the arterial wall and the blood will cause instabilities in coupled solvers, the arterial wall responses are very complicated therefore difficult to be described by classical structural models, accurate simulations in patient-specific geometries require large CPU time, and so on. To resolve these difficulties, the investigation of proper models for the aneurysms and the design of efficient and stable numerical schemes of these models are considered in this chapter. To be specific, we first contribute on stabilizing the partitioned fluid-structure interaction procedure and resolving the added-mass effect, then develop and employ fractional PDEs to model the complex biomechanical viscoelastic properties of patient-specific aneurysms. To validate the optimal coefficient analysis, the FSI framework is applied to patient-specific aneurysms, hence demonstrating the general applicability of the proposed model and the developed methodology.
DOI: 10.1115/1.1933900
发表时间: 2005-08-01
影响因子: 1.7
作者:
Doehring, TC;Freed, AD;Vesely, I
通讯作者: Vesely, I
DOI: 10.1016/j.jbiomech.2006.07.008
发表时间: 2007-01-01
影响因子: 2.4
作者:
Alastruey, J.;Parker, K. H.;Sherwin, S. J.
通讯作者: Sherwin, S. J.