Modeling of autowave processes in active media with inhomogeneous properties

A. V. Gulaj, V. A. Gulaj, A. V. Dubovik
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Abstract

This paper shows the results of computer modeling of the processes of excitation and propagation of autowaves in distributed active media with inhomogeneous properties. The study of autowaves by the cellular automata method is based on the Wiener–Rosenbluth model, according to which each element of the active environment can be in one of three states: rest, excitation and refractoriness. The software module "AutoWaveModel" has been developed in C++ using the Qt library and OpenGL technology for modeling dynamic processes of excitation of spiral waves and pacemakers. The heterogeneity of the properties of the active environment in the model under consideration is set, in particular, by introducing into the field (volume) of modeling a certain number of inactive elements distributed according to a random law. It is established that the decay of autowaves occurs when about 30-60% of inactive elements are introduced from their total number in the model, moreover, the wave propagation process becomes more stable with an increase in the decay coefficient of the activator of all elements. As one of the factors creating heterogeneity of the active distributed environment, the change in the decay coefficient of the activator in its volume is also considered. In this case, each cell of the model is assigned a random value of the specified coefficient, lying in a given interval from the minimum to the maximum value. With a significant difference in the values of the activator decay coefficient in near areas of the active environment and a sufficiently high excitation threshold, the wave front is curved due to its acceleration or deceleration. In this case, the destruction of the wave is also observed, which is unable to overcome the area with a reduced decay coefficient of the activator.
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非均匀有源介质中自波过程的建模
本文给出了非均匀分布有源介质中自波的激发和传播过程的计算机模拟结果。元胞自动机方法对自动波的研究基于Wiener-Rosenbluth模型,根据该模型,活动环境的每个元素可以处于三种状态之一:静止状态、激发状态和耐火状态。利用Qt库和OpenGL技术,用c++语言开发了“AutoWaveModel”软件模块,对螺旋波和起搏器的激励动态过程进行建模。通过在建模场(体积)中引入一定数量的按随机规律分布的非活动元素,使所考虑的模型中活动环境的性质具有非均匀性。结果表明,在模型中引入约30-60%的非活性元素时,自动波发生衰减,并且随着所有元素激活剂衰减系数的增加,波的传播过程变得更加稳定。活化剂的体积衰减系数的变化是造成有源分布环境非均质性的因素之一。在这种情况下,模型的每个单元被分配一个指定系数的随机值,从最小值到最大值的给定区间。当激活剂衰减系数的值在活动环境的附近区域有显著差异,并且激发阈值足够高时,波前由于其加速或减速而弯曲。在这种情况下,还观察到波的破坏,它无法克服激活剂衰减系数降低的区域。
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29
审稿时长
8 weeks
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