Multi-physics simulations of particle tracking in arterial geometries with a scalable moving window algorithm

Conference Paper

In arterial systems, cancer cell trajectories determine metastatic cancer locations; similarly, particle trajectories determine drug delivery distribution. Predicting trajectories is challenging, as the dynamics are affected by local interactions with red blood cells, complex hemodynamic flow structure, and downstream factors such as stenoses or blockages. Direct simulation is not possible, as a single simulation of a large arterial domain with explicit red blood cells is currently intractable on even the largest supercomputers. To overcome this limitation, we present a multi-physics adaptive window algorithm, in which individual red blood cells are explicitly modeled in a small region of interest moving through a coupled arterial fluid domain. We describe the coupling between the window and fluid domains, including automatic insertion and deletion of explicit cells and dynamic tracking of cells of interest by the window. We show that this algorithm scales efficiently on heterogeneous architectures and enables us to perform large, highly-resolved particle-tracking simulations that would otherwise be intractable.

Full Text

Duke Authors

Cited Authors

  • Herschlag, G; Gounley, J; Roychowdhury, S; Draeger, EW; Randles, A

Published Date

  • September 1, 2019

Published In

Volume / Issue

  • 2019-September /

International Standard Serial Number (ISSN)

  • 1552-5244

International Standard Book Number 13 (ISBN-13)

  • 9781728147345

Digital Object Identifier (DOI)

  • 10.1109/CLUSTER.2019.8891041

Citation Source

  • Scopus