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arXiv 1410.6331physics.flu-dyncond-mat.stat-mechphysics.comp-ph
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大尺度强迫下多维湍流瞬子的高效计算

Efficient Computation of Instantons for Multi-Dimensional Turbulent Flows with Large Scale Forcing

Tobias Grafke, Rainer Grauer, Stephan Schindel

摘要:

极端事件在流体湍流中发挥着至关重要的作用。受场论方法的启发,这些极端事件,它们的演化和概率可以在瞬子形式主义的帮助下作为合适的作用泛函的极小化者来计算。由于多维流体流中的高数量的自由度,传统的全局最小化技术在其存储器要求方面很快变得令人望而却步。我们概述了一种新的方法来寻找最小化的轨迹在广泛的一类问题,通常发生在湍流设置,其中底层的动力系统是一个非梯度,非线性偏微分方程,并迫使被限制在一个有限的长度尺度。我们证明了该算法的性能和内存方面的效率,通过计算高分辨率瞬子场配置对应的粘性冲击一维和二维可压缩流。

英文摘要:

Extreme events play a crucial role in fluid turbulence. Inspired by methods from field theory, these extreme events, their evolution and probability can be computed with help of the instanton formalism as minimizers of a suitable action functional. Due to the high number of degrees of freedom in multi-dimensional fluid flows, traditional global minimization techniques quickly become prohibitive in their memory requirements. We outline a novel method for finding the minimizing trajectory in a wide class of problems that typically occurs in turbulence setups, where the underlying dynamical system is a non-gradient, non-linear partial differential equation, and the forcing is restricted to a limited length scale. We demonstrate the efficiency of the algorithm in terms of performance and memory by computing high resolution instanton field configurations corresponding to viscous shocks for 1D and 2D compressible flows.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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