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A computational model for cardiovascular hemodynamics and protein transport phenomena

机译:心血管血流动力学和蛋白质运输现象的计算模型

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摘要

The hemodynamics plays a key role in the transport processes, in the blood stream, and thus, on the accumulation and deposition of lipids and medication on the vessel's wall. Therefore, understanding the hemodynamics of the arterial veins can advance the understanding of transport phenomena and prediction of deposition and buildup of the low-density lipoproteins (LDL) and particulate medication, on the arterial surfaces. Previous studies have showed that for pulsatile flow, laminar-turbulent flow transition may occur, particularly during intense exercises. Experimental and computational studies, of hemodynamics and transport phenomena, pose significant challenges due to the complex aorta's geometry and arterial fluid dynamics. In the present study, we propose a large-eddy simulation (LES), computational approach, to carry out the hemodynamics and medication dispersion and deposition studies, inside the descending aorta. The analysis reveals that the flow separation causes a preferential deposition and build-up of low-density lipoproteins (LDL) on the arterial surface. Our study also shows that the flow boundary-layer separation is associated with an increase in deposition of the low-density lipoproteins. The analysis reveals the presence of Dean vortices, inside the aorta branches, which contribute to the reduction of the deposition and build-up of low-density lipoproteins on the arterial surfaces. The analysis of medication dispersion and deposition, inside the descending aorta, shows that the total medication deposition increases with the increase of particle size and density. Particles of fiber-like shape are more prone to deposition, and this is due to the fact that fiber-like particles align perfectly with the flow streamlines. Thus, the interaction of complex turbulent eddies with vessel's wall causes medication deposition. The research shows that LES is a promising tool in the analysis of hemodynamics and medication transport and therefore, it may assist medical planning by providing surgeons with the elements of the blood flow such as, pressure, velocity, vorticity, wall-shear stresses, which cannot be measured in vivo and obtained with imaging techniques.
机译:血流动力学在血液的运输过程中起着关键作用,因此,在脂质和药物在血管壁上的积累和沉积中也起着关键作用。因此,了解动脉静脉的血流动力学可以促进对运输现象的理解,并预测低密度脂蛋白(LDL)和微粒药物在动脉表面的沉积和积聚。以前的研究表明,对于脉动流,可能会发生层流-湍流转换,尤其是在剧烈运动期间。由于复杂的主动脉几何形状和动脉流体动力学,血液动力学和运输现象的实验和计算研究面临重大挑战。在本研究中,我们提出了一种大涡模拟(LES),即计算方法,来进行降主动脉内的血流动力学和药物分散和沉积研究。分析表明,流动分离导致低密度脂蛋白(LDL)在动脉表面优先沉积和积聚。我们的研究还表明,流动边界层分离与低密度脂蛋白沉积的增加有关。分析表明,主动脉分支内存在迪安漩涡,这有助于减少低密度脂蛋白在动脉表面的沉积和积聚。对降主动脉内药物分散和沉积的分析表明,药物总沉积量随着颗粒大小和密度的增加而增加。纤维状颗粒更容易沉积,这是因为纤维状颗粒与流线完美对齐。因此,复杂的湍流漩涡与血管壁的相互作用会导致药物沉积。研究表明,LES在分析血液动力学和药物转运方面是一个很有前途的工具,因此,它可以通过向外科医生提供压力、速度、涡度、壁剪应力等血流要素来辅助医疗规划,这些要素无法在体内测量,也无法通过成像技术获得。

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