Coarse-grained area-difference-elasticity membrane model coupled with IB–LB method for simulation of red blood cell morphology
Zi-Xiang Tong,
Xi Chen,
Ya-Ling He and
Xiang-Biao Liao
Physica A: Statistical Mechanics and its Applications, 2018, vol. 509, issue C, 1183-1194
Abstract:
The morphologies of red blood cells (RBCs) in fluid environment have attracted many research interests. We propose a coarse-grained membrane model based on the area-difference-elasticity (ADE) model, and integrate the immersed boundary (IB) method and lattice Boltzmann (LB) method for the simulations of vesicles and RBCs. The membrane’s energy is composed of bending energy, ADE energy, area energy, volume energy and the elastic energy of the membrane skeleton. The fluid environment is solved by the LB method, and the membrane and fluid models are coupled by the IB method. With only bending energy and area energy, the cells show the prolate–oblate–stomatocyte transition with decreasing volume. If all energy components are included, the stomatocyte–discocyte–acanthocyte transition of the cell morphology is recovered with increasing area difference between the two leaflets of the membrane. Therefore, the proposed numerical model is capable to simulate the morphology of the RBC in various scenarios. This model can be further employed to study the deformation of cells in blood flows.
Keywords: Morphology; Red blood cell; Area-difference-elasticity model; Lattice Boltzmann method; Immersed boundary method (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S037843711830774X
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:509:y:2018:i:c:p:1183-1194
DOI: 10.1016/j.physa.2018.06.050
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().