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Efficient solution methods for modelling slowly evolving mechanical phenomena in cells and tissues using the discrete element method

Joldes, G.R., Smith, D.W. and Gardiner, B.S. (2018) Efficient solution methods for modelling slowly evolving mechanical phenomena in cells and tissues using the discrete element method. Engineering Analysis with Boundary Elements . In Press.

Link to Published Version: https://doi.org/10.1016/j.enganabound.2018.05.011
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Abstract

Cells and tissues exhibit complex mechanical behaviour, including large deformations, migration, growth, cell proliferation and death, as well as changes in behaviour due to external factors (e.g. chemical signals). The discrete element method is well suited for modelling such complicated behaviour, but computational efficiency is difficult to achieve due to the large number of particles needed for discretisation.

Most of the mechanical behaviour of cells and tissues takes place slowly enough that it can be considered a quasi-static process. Taking this into account, we developed very efficient algorithms which ensure solution convergence and greatly reduce the computation time; these include an efficient neighbour search algorithm, explicit time integration with dynamic relaxation and stability control using mass scaling. In this paper we describe these algorithms and evaluate their performance using several numerical experiments. We demonstrate how some complex phenomena (constant tension membrane, growth, tissue degradation) can be easily modelled using the proposed methods.

Publication Type: Journal Article
Murdoch Affiliation: School of Engineering and Information Technology
Publisher: Elsevier
Copyright: © 2018 Published by Elsevier Ltd
URI: http://researchrepository.murdoch.edu.au/id/eprint/41210
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