SIMULATION OF ARTERIAL BLOOD FLOW DYNAMICS

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目及 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 中心，但不一定是研究者所在的机构。 我们想研究血液的屈服应力行为。特别感兴趣的是由于屈服应力水平的血流动力学和动脉疾病进展的调制。血液是一种屈服应力流体。当它静止时，它是一种像凝胶一样的固体，当它被剪切时，它开始流动，表现得像卡森流体。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至关重要。血液流变学将被表示为具有不同程度的Casson屈服应力的Casson流体，该Casson屈服应力指示各种生理条件。我们使用Navier-Stokes方程来模拟动脉血流动力学。将从研究和教学生物医学图像库获得待使用的人类受试者的颈动脉的三维CT扫描图像。在研究中使用的数学模型是非线性和过渡的性质，不适合解析解，和一个数值方法，有限体积法，实施。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。计算流体动力学软件工具，如在匹兹堡超级计算中心（PSC）提供的FLUENT和GAMBIT，将用于模拟和数据可视化。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. 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.