This project received an MICDE Catalyst Grant in summer 2021.



Example of an image-based geometric model of a human aorta, discretized using an unstructured linear tetrahedral mesh.

Fluid mechanics plays a crucial role in many physiological processes on health and disease. Given recent advances in medical imaging, computational power, and mathematical algorithms, real-time patient-specific computational fluid dynamics is now becoming possible. Yet, many problems involve complex interactions between fluid and biological particles in which existing models are either too expensive to simulate at full scale or unable to properly capture important hydrodynamics taking place at the smallest scales. This project will develop a versatile and massively parallel framework to bridge this gap. The numerical framework will be designed to simulate a large number of particles within the human body, from deformable red blood cells within arteries to better understand stroke, to rigid calcite particles in the ear canal responsible for vertigo.

Principal Investigators

Jesse Capecelatro, Assistant Professor of Mechanical Engineering and Aerospace Engineering, U-M

Alberto Figueroa, Professor of  Biomedical Engineering (College of Engineering), and Vascular Surgery (Medical School), U-M