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Modeling Complex Biological Flows in Multi-Scale Systems using the APDEC Framework

Conference ·
We have developed advanced numerical algorithms to model biological fluids in multiscale flow environments using the software framework developed under the SciDAC APDEC ISIC. The foundation of our computational effort is an approach for modeling DNA-laden fluids as ''bead-rod'' polymers whose dynamics are fully coupled to an incompressible viscous solvent. The method is capable of modeling short range forces and interactions between particles using soft potentials and rigid constraints. Our methods are based on higher-order finite difference methods in complex geometry with adaptivity, leveraging algorithms and solvers in the APDEC Framework. Our Cartesian grid embedded boundary approach to incompressible viscous flow in irregular geometries has also been interfaced to a fast and accurate level-sets method within the APDEC Framework for extracting surfaces from volume renderings of medical image data and used to simulate cardio-vascular and pulmonary flows in critical anatomies.
Research Organization:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA
Sponsoring Organization:
USDOE
DOE Contract Number:
W-7405-ENG-48
OSTI ID:
896571
Report Number(s):
UCRL-CONF-222419
Country of Publication:
United States
Language:
English

References (4)

A stable and convergent scheme for viscoelastic flow in contraction channels journal May 2005
A Cartesian grid embedded boundary method for the heat equation and Poisson’s equation in three dimensions journal January 2006
A Cartesian grid embedded boundary method for hyperbolic conservation laws journal January 2006
A second-order projection method for the incompressible navier-stokes equations journal December 1989

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