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

机译:使用离散元件法在细胞和组织中慢慢发展机械现象的高效解决方案方法

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摘要

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.
机译:细胞和组织表现出复杂的机械行为,包括大变形,迁移,生长,细胞增殖和死亡,以及由于外部因素(例如化学信号)导致的行为的变化。离散元件方法非常适合于建模这种复杂的行为,但由于分散所需的大量粒子,计算效率难以实现。尽管细胞和组织的机械行为足够缓慢地进行,但它可以被认为是可以考虑的准静态过程。考虑到这一点,我们开发了非常高效的算法,确保解决方案收敛并大大减少计算时间;这些包括有效的邻居搜索算法,使用大规模缩放的动态松弛和稳定性控制的明确时间集成。在本文中,我们描述了这些算法,并使用若干数值实验评估它们的性能。我们证明了如何使用所提出的方法容易地建模一些复杂的现象(恒定张力膜,生长,组织降解)。

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