"Multiscale Simulation of the Human Arterial Tree on the Teragrid"

Abstract:

Full-scale simulations of the virtual physiological human (VPH) will require significant advances in modeling, multiscale mathematics, scientific computing and further advances in medical imaging . Here, we review some of the main issues that need to be resolved in order to make full-scale realistic simulations of blood flow in the human arterial tree feasible in the near future.
A straight-forward approach is computationally prohibitive even on the emerging petaflop supercomputers so a three-level hierarchical approach based on the vessel size is required consisting of: a Macrovascular Network (MaN), a Mesovascular Network (MeN), and a Microvascular Network (MiN). We will present recent simulations of MaN obtained by solving the 3D Navier-Stokes equations on arterial networks with hundreds of intracranial arteries and bifurcations and accounting for the neglected dynamics through proper boundary conditions. We will also present atomistic simulations of MiN using spectrin-level models for red blood cells that are validated against experimental data in microchannels.

Bio:

George Karniadakis received his S.M. (1984) and Ph.D. (1987) from Massachusetts Institute of Technology. He was appointed a Lecturer in the Department of Mechanical Engineering at MIT in 1987 and subsequently he joined the Center for Turbulence Research at Stanford / Nasa Ames. He joined Princeton University as Assistant Professor in the Department of Mechanical and Aerospace Engineering and as Associate Faculty in the Program of Applied and Computational Mathematics. He was a Visiting Professor at Caltech (1993) in the Aeronautics Department. He joined Brown University as Associate Professor of Applied Mathematics in the Center for Fluid Mechanics on January 1, 1994. He became a full professor on July 1, 1996. He has been a Visiting Professor and Senior Lecturer of Ocean/Mechanical Engineering at MIT since September 1, 2000. He was Visiting Professor at Peking University (Fall 2007). He is a Fellow of the American Physical Society (APS, 2004-), Fellow of the American Society of Mechanical Engineers (ASME, 2003-) and Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA, 2006-). He is the recipient of the CFD award (2007) by the US Association in Computational Mechanics.

For more information please contact Pui-Kuen Yeung.

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