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In vitro and in vivo dynamics of abdominal aortic aneurysms: A fluid-structure interaction study.

机译:腹主动脉瘤的体外和体内动力学:流体-结构相互作用研究。

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摘要

Abdominal aortic aneurysm (AAA) rupture occurs when the stress of the in vivo environment exceeds the resistance provided by the arterial wall, causing a failure of the wall to retain the blood that passes through the aorta to the systemic circulation. It is the 13th leading cause of death in the United States, affecting an estimated 8% of the population over the age of 65. The current state of the clinical assessment of AAAs includes using a diameter-based criterion or growth rate to determine if surgical intervention is necessary. Typical repair includes endovascular (EVAR) or open surgery where a graft device is placed within the AAA to restore normal blood flow through the aorta while alleviating the stresses acting on a diseased arterial wall. Unfortunately as many as 33% of AAAs that rupture have a diameter smaller than the 5.5cm critical value used in the clinical setting for assessment. Since AAAs are a largely asymptomatic condition, the screening necessary to measure growth rate often cannot be completed. This has lead to the development of several proposed approaches that establish improved criteria which can be used to determine rupture risk.;Chapter 1 describes in detail these approaches and the resulting criteria which are recommended for the assessment of AAAs. The majority of the research has applied the predicted wall stress from computational solid stress (CSS) analyses to determine the effects of parameters such as asymmetry, wall thickness, and tortuosity on the AAA rupture risk. However there are several factors which affect the ability to develop an accurate rupture assessment tool, including the mechanical properties of the patient's AAA, the presence and consistency of intraluminal thrombus (ILT), and the arterial pressure within the AAA sac. One factor which may be overlooked is the fluid dynamics that exists within the aneurysm, which has been shown to correlate with biological as well as mechanical changes to the AAA wall.;To this end, the use of fluid-structure interaction (FSI) may provide additional characteristics that contribute to AAA rupture. The investigation presented in Chapter 2 forms the hypothesis that the dynamic interaction of the blood flow and the arterial wall significantly affects the maximum wall stress and the conditions under which it occurs. Three different patient-specific morphologies are reconstructed using semi-automatic edge detection software to include the lumen, common iliac arteries, intraluminal thrombus, and arterial wall with uniform thickness. Computational solid stress (CSS) as well as partially and fully-coupled fluid-structure interaction (FSI) analyses are completed using a generalized inlet velocity and outlet pressure waveform. The arterial wall is modeled with an isotropic, hyperelastic material property as is the localized intraluminal thrombus. The results show that the shape of the lumen affects the pressure gradients within the AAA and therefore the magnitude of the maximum wall stress. The maximum CSS- and FSI-predicted wall stresses for a patient with a uniform luminal cross-section were within 3%, while those patients with a protruding intraluminal thrombus differed by as much as 26% between the computational approaches. The higher FSI-predicted wall stress in these cases is attributed to the increased wall pressure resulting from the fluid dynamics within the AAA sac.;Demonstrating the importance of fluid dynamics on the resulting wall stress is a significant contribution to the study of AAAs, in part because it represents the first fully-coupled FSI that utilizes a hyperelastic material model for the wall and ILT, and includes the common iliac bifurcation. However the results need to be validated both for physical as well as physiological accuracy. In Chapter 3, an idealized AAA glass model is used in experimental and computational analyses to compare the fluid dynamics obtained with particle image velocimetry (PIV) with those from a CFD and FSI analysis. The glass model is scanned and converted into a CAD model so that an accurate lumen geometry is created. The CAD models are then used to form a destructible core which is coated with Silbione(R) elastomer to form a compliant model. Similarly the CAD models are imported into meshing software to create identical computational domains. Two PIV experiments were conducted, one with the glass model and the other with the compliant model. These results were then compared to computational fluid dynamics (CFD) and f-FSI simulations that applied boundary conditions derived from the in vitro flow loop. The effect of the AAA dilation was captured by all three approaches, which showed the development and dissipation of vortices. Furthermore the f-FS I demonstrated the effect of the compliant wall on this flow dynamics, including a longer duration of attached flow at the lateral walls. However the wall motion was not well replicated in the f-FSI, in part because of the two-dimensional visualization of the three-dimensional flow fields from both the PIV and f-FSI systems. The relative consistency between the f-FSI results and the compliant model PIV experiments, coupled with the comparable dynamics in the CFD and glass model flow visualization, showed the ability to numerically predict the fluid dynamics within the AAA geometry, with the success of the f-FSI dependent on the wall properties and external conditions. (Abstract shortened by UMI.)
机译:当体内环境的压力超过动脉壁提供的阻力时,会发生腹主动脉瘤(AAA)破裂,从而导致壁无法保留通过主动脉进入全身循环的血液。它是美国的第13大死亡原因,估计影响了65岁以上人口的8%。AAA的临床评估的当前状态包括使用基于直径的标准或增长率来确定是否手术干预是必要的。典型的修复包括血管内(EVAR)或开放手术,其中将移植装置放置在AAA内,以恢复通过主动脉的正常血液流动,同时减轻作用在患病动脉壁上的压力。不幸的是,多达33%的AAA破裂直径小于临床评估中使用的5.5厘米临界值。由于AAA在很大程度上是无症状的,因此通常无法完成测量增长率所需的筛查。这导致开发了几种提议的方法,这些方法建立了可用于确定破裂风险的改进标准。;第1章详细介绍了这些方法以及建议用于AAA评估的标准。大多数研究已将通过计算固体应力(CSS)分析得出的预测壁应力应用于确定参数(例如不对称性,壁厚和曲折度)对AAA破裂风险的影响。但是,有几个因素会影响开发准确的破裂评估工具的能力,包括患者AAA的机械性能,管腔内血栓(ILT)的存在和稠度以及AAA囊内的动脉压。可能被忽视的一个因素是动脉瘤内存在的流体动力学,这已被证明与AAA壁的生物学变化和机械变化相关。为此,使用流体-结构相互作用(FSI)可能提供有助于AAA破裂的其他特征。第2章中提出的研究形成了一个假设,即血流和动脉壁的动态相互作用会显着影响最大壁应力及其发生的条件。使用半自动边缘检测软件可重建三种不同的患者特定形态,包括管腔,common总动脉,腔内血栓和厚度均匀的动脉壁。使用广义的入口速度和出口压力波形可完成计算固体应力(CSS)以及部分和完全耦合的流固耦合(FSI)分析。动脉壁的模型具有各向同性,超弹性的材料特性,局部腔内血栓也是如此。结果表明,管腔的形状会影响AAA内的压力梯度,从而影响最大壁应力的大小。对于管腔横截面均匀的患者,最大的CSS和FSI预测壁应力在3%以内,而在管腔内血栓突出的患者之间,计算方法之间的差异高达26%。在这些情况下,较高的FSI预测壁应力是由于AAA囊内的流体动力学导致壁压力增加所致;证明流体动力学对所产生的壁应力的重要性对AAA的研究做出了重大贡献。部分原因是因为它代表了第一个完全耦合的FSI,该FSI对墙和ILT采用了超弹性材料模型,并包括常见的叉分叉。但是,需要对结果的物理准确性和生理准确性进行验证。在第3章中,将理想化的AAA玻璃模型用于实验和计算分析,以比较通过粒子图像测速(PIV)获得的流体动力学与CFD和FSI分析获得的流体动力学。扫描玻璃模型并将其转换为CAD模型,以便创建精确的管腔几何形状。然后将CAD模型用于形成可破坏的核心,然后在其上涂覆Silbione(R)弹性体以形成顺应性模型。同样,将CAD模型导入网格划分软件以创建相同的计算域。进行了两个PIV实验,一个是玻璃模型,另一个是柔顺模型。然后将这些结果与应用体外流路得出的边界条件的计算流体力学(CFD)和f-FSI模拟进行比较。三种方法均捕获了AAA扩张的效果,这表明了涡旋的产生和消散。此外,f-FS I展示了顺应壁对这种流动动力学的影响,包括侧壁上附着流动的持续时间更长。但是,壁运动在f-FSI中不能很好地复制,部分是由于PIV和f-FSI系统的三维流场的二维可视化。 f-FSI结果与顺应性模型PIV实验之间的相对一致性,再加上CFD和玻璃模型流动可视化中的可比动力学,证明了能够以数字方式预测AAA几何形状内的流体动力学,并且f -FSI取决于墙的性能和外部条件。 (摘要由UMI缩短。)

著录项

  • 作者

    Scotti, Christine.;

  • 作者单位

    Carnegie Mellon University.;

  • 授予单位 Carnegie Mellon University.;
  • 学科 Engineering Biomedical.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 203 p.
  • 总页数 203
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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