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

Research output: Contribution to journalArticle

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.

Original languageEnglish
Pages (from-to)175-184
Number of pages10
JournalEngineering Analysis with Boundary Elements
Volume100
DOIs
Publication statusPublished - 1 Mar 2019

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Discrete Element Method
Mechanical Behavior
Efficient Solution
Finite difference method
Tissue
Explicit Time Integration
Cell Proliferation
Cell
Large Deformation
Modeling
Computational Efficiency
Search Algorithm
Migration
Degradation
Membrane
Efficient Algorithms
Discretization
Numerical Experiment
Cell proliferation
Scaling

Cite this

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title = "Efficient solution methods for modelling slowly evolving mechanical phenomena in cells and tissues using the discrete element method",
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.",
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