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Parametric Study of FSI Issues in Blood-Artery Interaction Models

Arif Masud, University of Illinois at Urbana-Champaign

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Arif Masud, Lixing Zhu, Soonpil Kang, Elizabeth Livingston, Daniel Sheehan, Shoaib Ahmad Goraya

We have developed residual based turbulence models for application to blood flow through patient specific arterial geometries. In our methods and code, blood is modeled as a nonNewtonian fluid. These codes are running on the Blue Waters platform. Current developments are aimed at predicting postsurgical conditions in heart transplant patients with Ventricular Assist Devices (VAD), and at identifying fluid structure interaction issues in the operation of VADs. The undergraduate student with work together with the research team to learn about high performance computing on Blue Waters platform and assist with the research on arterial blood flow.

Specifically, intern Elizabeth Livingston, will be focusing on the "targeted drug delivery" aspects of the larger project that is more physics based where she would be doing simulations with integrated particles in a highly nonlinear blood flow system. She will investigate the properties of the particle-coatings to release drug in the designed time-frame, and then employ hemodynamic forces to dislodge the particles back into the stream to clear the system. This project has great significance in cancer research and my PhD student Soonpil Kang is developing mathematical models and computer codes to carry out targeted drug deliver simulations. This project will be compute heavy and therefore we are making request for maximum computing resources that this program can facilitate.