4.7 Article

Immersed finite element method and its applications to biological systems

Journal

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
Volume 195, Issue 13-16, Pages 1722-1749

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.cma.2005.05.049

Keywords

immersed finite element method; reproducing kernel particle method; fluid-structure interaction; cytoskeletal dynamics; red blood cell; aggregation; thrombosis; cardiovascular system; micro-circulation; naiio-electro-mechanical-sensors; cell motility; surgical corrective procedures

Funding

  1. NIBIB NIH HHS [R01 EB004873, R01 EB004873-01A2] Funding Source: Medline
  2. NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING [R01EB004873] Funding Source: NIH RePORTER

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This paper summarizes the newly developed immersed finite element method (IFEM) and its applications to the modeling of biological systems. This work was inspired by the pioneering work of Professor T.J.R. Hughes in solving fluid-structure interaction problems. In IFEM, a Lagrangian solid mesh moves on top of a background Eulerian fluid mesh which spans the entire computational domain. Hence, mesh generation is greatly simplified. Moreover, both fluid and solid domains are modeled with the finite element method and the continuity between the fluid and solid subdomains is enforced via the interpolation of the velocities and the distribution of the forces with the reproducing Kernel particle method (RKPM) delta function. The proposed method is used to study the fluid-structure interaction problems encountered in human cardiovascular systems. Currently, the heart modeling is being constructed and the deployment process of an angioplasty stent has been simulated. Some preliminary results on monocyte and platelet deposition are presented. Blood rheology, in particular, the shear-rate dependent de-aggregation of red blood cell (RBC) clusters and the transport of deformable cells, are modeled. Furthermore, IFEM is combined with electrokinetics to study the mechanisms of nano/bio filament assembly for the understanding of cell motility. (c) 2005 Elsevier B.V. All rights reserved.

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