Analysis of Rayleigh-Taylor instability by nonlinear statistics methods for the tasks of laser thermonuclear fusion

A. Nuzhny, V. Rozanov, R. Stepanov, A. S. Shumsky
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引用次数: 1

Abstract

A consideration of turbulent mixing is especially important in the laser fusion problems where the intensities of shock waves and acceleration fields achieve great values and the arising instabilities lead to a considerable reduction of thermonuclear yield. A standard set of thermodynamic values is insufficient to describe a process of turbulent mixing because a classical set averaging takes no account of the coherent structures, which are essential for the process. However, there is supposed to be a certain "reasonable" number of parameters characterizing a further development of turbulent process, as evidenced by numerical calculations and experimental data. An attempt has been made to determine numerically the turbulent mixing steady-state formation at an example of two-dimensional Rayleigh-Taylor problems. In order to define such hidden characteristics one applied a mathematical apparatus of artificial intellect used effectively in fuzzy logic problems. The process states were coded by wavelet transform allowing one to consider spatially localized structures. The processes under study were determined by numerical calculations. As a result one obtained a steady-state representation of an RT-mixing process. The stable parameters are expressed through linear combinations of wavelet coefficients and Fourier transforms of the physical fields.
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用非线性统计方法分析激光热核聚变任务的瑞利-泰勒不稳定性
在激光聚变问题中,湍流混合的考虑是特别重要的,因为在激光聚变问题中,激波和加速场的强度达到很大的值,而产生的不稳定性会导致热核产率的大幅度降低。一组标准的热力学值不足以描述紊流混合过程,因为经典的集平均法没有考虑对该过程至关重要的相干结构。然而,数值计算和实验数据都证明,湍流过程的进一步发展应该有一定数量的“合理”参数。以二维瑞利-泰勒问题为例,尝试用数值方法确定湍流混合稳态形成。为了定义这些隐藏的特征,我们应用了一个在模糊逻辑问题中有效使用的人工智能数学装置。过程状态由小波变换编码,允许考虑空间局部结构。所研究的过程是通过数值计算确定的。结果得到了rt -混合过程的稳态表示。稳定参数通过物理场的小波系数和傅里叶变换的线性组合来表示。
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