arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2204.13435physics.flu-dyncond-mat.stat-mech
收藏

均匀各向同性turbulence在欧拉坐标和拉格朗日坐标下的关联函数和线性响应函数

Correlation function and linear response function of homogeneous isotropic turbulence in the Eulerian and Lagrangian coordinates

Takeshi Matsumoto, Michio Otsuki, Takeshi Ooshida, Susumu Goto

摘要:

通过直接数值模拟(DNS),研究了欧拉坐标系和拉格朗日坐标系下统计稳态、均匀、各向同性湍流速度Fourier模式的关联函数和平均线性响应函数。作为拉格朗日速度,我们在这里采用Kraichnan的拉格朗日历史框架,其中拉格朗日粒子被标记为当前位置,并且它们的速度在之前的某个时间被测量。该拉格朗日速度用称为被动矢量法的方法数值计算。我们的第一个目标是研究欧拉坐标系和拉格朗日坐标系下的关联函数和平均线性响应函数之间的关系。这种关系是已知的是重要的,在分析封闭的方程组的两个功能,这是通过直接相互作用近似型封闭。我们证明了数值波动耗散定理(两个功能之间的比例)不成立。在此基础上,进一步研究了随机背景下平均线性响应函数的一般解析表达式,即非平衡统计力学中的涨落-响应关系。我们的第二个目标是确定与这两个函数相关的特征时间,并比较欧拉坐标和拉格朗日坐标之间的时间。我们的DNS结果支持以下共同观点:欧拉特征时间对于两个函数都具有扫描时间缩放($\propto k^{-1}$,其中$k$是波数),并且惯性范围内的拉格朗日特征时间对于两个函数都具有柯尔莫哥洛夫时间缩放($\propto k^{-2/3}$)。

英文摘要:

We study the correlation function and mean linear response function of the velocity Fourier mode of statistically steady-state, homogeneous and isotropic turbulence in the Eulerian and Lagrangian coordinates through direct numerical simulation (DNS). As the Lagrangian velocity, we here adopt Kraichnan's Lagrangian history framework where Lagrangian particles are labelled with current positions and their velocity are measured at some time before. This Lagrangian velocity is numerically calculated with a method known as passive vector method. Our first goal is to study relation between the correlation function and the mean linear response function in the Eulerian and Lagrangian coordinates. Such a relation is known to be important in analysing the closed set of equations for the two functions, which are obtained by direct-interaction-approximation type closures. We demonstrate numerically that the fluctuation-dissipation theorem (proportionality between the two functions) does not hold. The relation is further investigated with general analytical expressions of the mean linear response function under stochastic settings, which are known as the fluctuation-response relations in non-equilibrium statistical mechanics. Our second goal is to identify characteristic times associated with the two functions and to compare the times between the Eulerian and Lagrangian coordinates. Our DNS result supports the common view that the Eulerian characteristic times have the sweeping-time scaling ($\propto k^{-1}$, where $k$ is the wavenumber) for both functions and the Lagrangian characteristic times in the inertial range have the Kolmogorov-time scaling ($\propto k^{-2/3}$) for both functions.

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。

↑