软体生物组织损伤诱导生长与重塑演化方程的有效时间步进

IF 4.7 2区 工程技术 Q1 MECHANICS European Journal of Mechanics A-Solids Pub Date : 2025-05-01 Epub Date: 2025-01-21 DOI:10.1016/j.euromechsol.2025.105582
Igor Tagiltsev, Peter Wriggers
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引用次数: 0

摘要

约束混合方法是一种强大的工具来模拟软生物组织,特别是-他们的生长和重塑(G&;R)行为。它的明显缺点在于控制方程的增加,这与物质成分的增加相对应。在当前的论文中,我们仔细研究了一个特定的G&;R模型,该模型基于材料的化学-力学-生物状态的详细描述,该状态是由与胶原纤维展开相关的过度负荷引起的。该模型由多个相互作用的演化方程组成,在应用仿真中求解这些方程需要耗费大量的计算时间。提出了两个定性模型假设,以提高模型的能力。此外,还介绍了几种求解演化方程积分的无迭代数值格式。我们表明,该模型的数值性能显著提高与所提出的方案,而没有妥协的鲁棒性或准确性的模拟。
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Efficient time-stepping for the evolution equations of damage-induced growth and remodelling in soft biological tissues
The constrained mixture method is a powerful instrument to model soft biological tissues, in particular — their growth and remodelling (G&R) behaviour. Its clear drawback lays in the increase of governing equations which corresponds to the increase of material constituents. In the current paper we scrutinise a particular G&R model, that is based on the detailed description of material’s chemo-mechano-biological state, caused by excessive load associated with collagen fibres’ unfolding. The model consist of many interacting evolution equations, solving of which takes most of computational time during applied simulations. Two qualitative model assumptions are made to improve its capabilities. Moreover, several iteration-free numerical schemes are introduced addressing the integration of evolution equations. We show that the numerical performance of the model drastically improves with the proposed schemes, while no compromises with respect to robustness or accuracy of the simulation are made.
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来源期刊
CiteScore
7.00
自引率
7.30%
发文量
275
审稿时长
48 days
期刊介绍: The European Journal of Mechanics endash; A/Solids continues to publish articles in English in all areas of Solid Mechanics from the physical and mathematical basis to materials engineering, technological applications and methods of modern computational mechanics, both pure and applied research.
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