Afkari Damon, Gabaldón Felipe
a ETSI Caminos, Canales y Puertos , Universidad Politécnica de Madrid , Madrid , Spain .
b PRINCIPIA Ingenieros Consultores S.A. , Madrid , Spain .
Comput Methods Biomech Biomed Engin. 2016;19(9):985-1001. doi: 10.1080/10255842.2015.1085026. Epub 2015 Sep 24.
In pre-surgery decisions in hospital emergency cases, fast and reliable results of the solid and fluid mechanics problems are of great interest to clinicians. In the current investigation, an iterative process based on a pressure-type boundary condition is proposed in order to reduce the computational costs of blood flow simulations in arteries, without losing control of the important clinical parameters. The incorporation of cardiovascular autoregulation, together with the well-known impedance boundary condition, forms the basis of the proposed methodology. With autoregulation, the instabilities associated with conventional pressure-type or impedance boundary conditions are avoided without an excessive increase in computational costs. The general behaviour of pulsatile blood flow in arteries, which is important from the clinical point of view, is well reproduced through this new methodology. In addition, the interaction between the blood and the arterial walls occurs via a modified weak coupling, which makes the simulation more stable and computationally efficient. Based on in vitro experiments, the hyperelastic behaviour of the wall is characterised and modelled. The applications and benefits of the proposed pressure-type boundary condition are shown in a model of an idealised aortic arch with and without an ascending aorta dissection, which is a common cardiovascular disorder.
在医院急诊病例的术前决策中,固体和流体力学问题的快速可靠结果对临床医生极具吸引力。在当前的研究中,提出了一种基于压力型边界条件的迭代过程,以降低动脉血流模拟的计算成本,同时又不失去对重要临床参数的控制。心血管自动调节与著名的阻抗边界条件相结合,构成了所提出方法的基础。通过自动调节,避免了与传统压力型或阻抗边界条件相关的不稳定性,同时计算成本又不会过度增加。从临床角度来看很重要的动脉中脉动血流的一般行为,通过这种新方法得到了很好的再现。此外,血液与动脉壁之间的相互作用通过改进的弱耦合发生,这使得模拟更加稳定且计算效率更高。基于体外实验,对血管壁的超弹性行为进行了表征和建模。所提出的压力型边界条件的应用和优势在一个理想化主动脉弓模型中得到了展示,该模型有和没有升主动脉夹层,升主动脉夹层是一种常见的心血管疾病。