Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/34357
Title: Numerical Methods to Compute Stresses and Displacements from Cellular Forces: Application to the Contraction of Tissue
Authors: PENG, Qiyao 
VERMOLEN, Fred 
Issue Date: 2022
Publisher: ELSEVIER
Source: Journal of computational and applied mathematics, 404 (Art N° 113892)
Abstract: We consider a mathematical model for wound contraction, which is based on solving a momentum balance under the assumptions of isotropy, homogeneity, Hooke's Law, in-finitesimal strain theory and point forces exerted by cells. However, point forces, described by Dirac Delta distributions lead to a singular solution, which in many cases may cause trouble to finite element methods due to a low degree of regularity. Hence, we consider several alternatives to address point forces, that is, whether to treat the region covered by the cells that exert forces as part of the computational domain or as 'holes' in the computational domain. The formalisms develop into the immersed boundary approach and the 'hole approach', respectively. Consistency between these approaches is verified in a theoretical setting, but also confirmed computationally. However, the 'hole approach' is much more expensive and complicated for its need of mesh adaptation in the case of migrating cells while it increases the numerical accuracy, which makes it hard to adapt to the multi-cell model. Therefore, for multiple cells, we consider the polygon that is used to approximate the boundary of cells that exert contractile forces. It is found that a low degree of polygons, in particular triangular or square shaped cell boundaries, already give acceptable results in engineering precision, so that it is suitable for the situation with a large amount of cells in the computational domain.
Keywords: Mathematics - Numerical Analysis;Computer Science - Numerical Analysis
Document URI: http://hdl.handle.net/1942/34357
ISSN: 0377-0427
e-ISSN: 1879-1778
DOI: 10.1016/j.cam.2021.113892
ISI #: 000718383300014
Rights: This is an open access article under the CC BY license
Category: A1
Type: Journal Contribution
Validations: ecoom 2023
Appears in Collections:Research publications

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