Mathematical Modelling and Numerical Simulation of Diffusive Processes in Slow Changing Domains

Dmytro V. Yevdokymov, Yuri L. Menshikov
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Abstract

Nowadays, diffusion and heat conduction processes in slow changing domains attract great attention. Slow-phase transitions and growth of biological structures can be considered as examples of such processes. The main difficulty in numerical solutions of correspondent problems is connected with the presence of two time scales. The first one is time scale describing diffusion or heat conduction. The second time scale is connected with the mentioned slow domain evolution. If there is sufficient difference in order of the listed time scale, strong computational difficulties in application of time-stepping algorithms are observed. To overcome the mentioned difficulties, it is proposed to apply a small parameter method for obtaining a new mathematical model, in which the starting parabolic initial-boundary-value problem is replaced by a sequence of elliptic boundary-value problems. Application of the boundary element method for numerical solution of the obtained sequence of problems gives an opportunity to solve the whole considered problem in slow time with high accuracy specific to the mentioned algorithm. Besides that, questions about convergence of the obtained asymptotic expansion and correspondence between initial and obtained formulations of the problem are considered separately. The proposed numerical approach is illustrated by several examples of numerical calculations for relevant problems.
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慢变域扩散过程的数学建模与数值模拟
目前,慢变域中的扩散和热传导过程备受关注。缓慢的相变和生物结构的生长可以看作是这种过程的例子。相应问题的数值解的主要困难与两个时间尺度的存在有关。第一个是描述扩散或热传导的时间尺度。第二个时间尺度与上述慢域演化有关。如果所列时间尺度的顺序有足够的差异,则时间步进算法的应用存在较大的计算困难。为了克服上述困难,提出了一种新的数学模型,即用一系列椭圆型边值问题代替起始抛物线型初边值问题。将边界元法应用于所得到的问题序列的数值解,使所考虑的整个问题在较慢的时间内以所述算法特有的高精度得到求解。此外,还分别考虑了所得到的渐近展开式的收敛性问题和所得到的初值公式与初值公式的对应性问题。本文通过几个相关问题的数值计算实例说明了所提出的数值方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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