论组织力学在患者特异性主动脉夹层流固耦合模拟中的作用

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Richard Schussnig, Malte Rolf-Pissarczyk, Kathrin Bäumler, Thomas-Peter Fries, Gerhard A. Holzapfel, Martin Kronbichler
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引用次数: 0

摘要

从数值角度来看,主动脉夹层建模是一项特殊的挑战,尤其是涉及到固体(主动脉壁)和液体(血流)之间的相互作用时。患者特定模拟的复杂性需要各种参数、建模假设和简化,这阻碍了目前在临床环境中的常规应用。我们提出了一个数值框架,它能捕捉到主动脉壁各层的各向异性、血液的非牛顿行为、患者特定的几何形状和患者特定的流动条件等。我们比较了模拟中的血液动力学指标和应力测量结果,血管组织的材料模型越来越复杂,从刚性壁到各向异性的超弹性材料。我们发现,在目前的几何形状和边界条件下,刚性壁模拟产生的结果与流固耦合模拟不同。考虑到各向异性纤维在组织模型中的作用,主动脉壁的应力测量结果有所不同,但基于剪应力的生物标志物受到的影响较小。总之,组织模型的复杂性不断增加,可以捕捉到更多细节。然而,这也需要一个广泛的参数集。由于模拟结果取决于这些建模选择,因此不同的选择会在临床应用中产生不同的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

On the role of tissue mechanics in fluid–structure interaction simulations of patient-specific aortic dissection

On the role of tissue mechanics in fluid–structure interaction simulations of patient-specific aortic dissection

Modeling an aortic dissection represents a particular challenge from a numerical perspective, especially when it comes to the interaction between solid (aortic wall) and liquid (blood flow). The complexity of patient-specific simulations requires a variety of parameters, modeling assumptions and simplifications that currently hinder their routine use in clinical settings. We present a numerical framework that captures, among other things, the layer-specific anisotropic properties of the aortic wall, the non-Newtonian behavior of blood, patient-specific geometry, and patient-specific flow conditions. We compare hemodynamic indicators and stress measurements in simulations with increasingly complex material models for the vessel tissue ranging from rigid walls to anisotropic hyperelastic materials. We find that for the present geometry and boundary conditions, rigid wall simulations produce different results than fluid–structure interaction simulations. Considering anisotropic fiber contributions in the tissue model, stress measurements in the aortic wall differ, but shear stress-based biomarkers are less affected. In summary, the increasing complexity of the tissue model enables capturing more details. However, an extensive parameter set is also required. Since the simulation results depend on these modeling choices, variations can lead to different recommendations in clinical applications.

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来源期刊
CiteScore
5.70
自引率
6.90%
发文量
276
审稿时长
5.3 months
期刊介绍: The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems. The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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