SIMULATION OF ARTERIAL BLOOD FLOW DYNAMICS

这个子项目是利用资源的许多研究子项目之一。 由NIH/NCRR资助的中心拨款提供。对子项目的主要支持 子项目的首席调查员可能是由其他来源提供的， 包括美国国立卫生研究院的其他来源。为子项目列出的总成本可能 表示该子项目使用的中心基础设施的估计数量， 不是由NCRR赠款提供给次级项目或次级项目工作人员的直接资金。 我们想要研究血液的屈服应力行为。特别令人感兴趣的是由于屈服应力水平对血流动力学和动脉疾病进展的调节。血液是一种屈服应力流体。当它静止时，它是一种固体状的凝胶，当它被剪切时，它开始流动，行为像卡森流体。血液流变学分析使我们能够描述几个生物过程，这些过程对于理解人类生理和疾病过程以及设计新的诊断和治疗程序是必不可少的。血液流变学将被表示为卡松流体，具有不同程度的卡松屈服应力，表示不同的生理条件。我们使用Navier-Stokes方程来模拟动脉血流动力学。将要使用的人体颈动脉的三维CT扫描图像将从研究和教学生物医学图像库中获得。研究中使用的数学模型本质上是非线性和过渡性的，不能进行解析解，并实现了一种数值方法--有限体积法。数值方法是计算密集型的，因此模拟将在超级计算环境中进行。匹兹堡超级计算中心(PSC)提供的计算流体力学软件工具，如USFLUENT和GAMBIT，将用于数据的模拟和可视化。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. We would like to investigate the yield stress behavior of blood. Particular interest is modulation of flow dynamics and arterial disease progressions due to yield stress levels. Blood is a yield stress fluid. It is a solid like gel when it is at rest and when it is sheared it starts to flow and behave like a Casson fluid. Blood rheology analysis allows us to describe several biological processes which are essential to understand human physiology and disease processes and also to design novel diagnostic and treatment procedures. Blood rheology will be represented as a Casson fluid with different degrees of Casson yield stress designating various physiological conditions. We use the Navier-Stokes equation to model arterial blood flow dynamics. The three-dimensional CT scan imagery of carotid arteries of a human subject to be used will be obtained from research and teaching biomedical image repository. The mathematical models to be used in the study are non-linear and transit in their nature and are not amenable to analytic solution, and a numerical method, finite volume method, is implemented. The numerical approach is computational intensive; as a result, the simulation will be conducted in supercomputing environment. Computational fluid dynamics software tools such us FLUENT and GAMBIT which are available at Pittsburgh Super Computing Center (PSC) will be used in simulation and visualization of data.