Immersed finite element method and its applications to biological systems
Document Type
Article
Publication Date
2-15-2006
Abstract
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 sub-domains 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. © 2005 Elsevier B.V. All rights reserved.
Identifier
30944434458 (Scopus)
Publication Title
Computer Methods in Applied Mechanics and Engineering
External Full Text Location
https://doi.org/10.1016/j.cma.2005.05.049
ISSN
00457825
First Page
1722
Last Page
1749
Issue
13-16
Volume
195
Fund Ref
National Science Foundation
Recommended Citation
Liu, Wing Kam; Liu, Yaling; Farrell, David; Zhang, Lucy; Wang, X. Sheldon; Fukui, Yoshio; Patankar, Neelesh; Zhang, Yongjie; Bajaj, Chandrajit; Lee, Junghoon; Hong, Juhee; Chen, Xinyu; and Hsu, Huayi, "Immersed finite element method and its applications to biological systems" (2006). Faculty Publications. 19054.
https://digitalcommons.njit.edu/fac_pubs/19054
