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arXiv 2103.07326physics.flu-dyncond-mat.stat-mech
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基于泛函重整化群的标量湍流时空关联函数

Spatio-temporal correlation functions in scalar turbulence from functional renormalization group

Carlo Pagani, Léonie Canet

AI总结:

本文利用泛函重整化群方法研究了被动标量湍流的两点关联函数,发现Kraichnan模型中标量在大波数下随时间延迟呈指数衰减,且前因子与$k^2$成正比,而delta时间相关假设改变了小时间尺度下的统计行为。

摘要:

我们提供了由湍流被动输运的标量场两点关联函数在大波数下的主导行为。我们首先考虑Kraichnan模型,其中湍流载流场由具有高斯分布的随机矢量场建模;然后考虑由Navier-Stokes方程描述的均匀且各向同性湍流输运的标量,假设该标量是被动的,即它不影响载流场。我们证明,在大波数下,Kraichnan模型中标量的两点关联函数在惯性区和耗散区均随时间延迟呈指数衰减。我们通过微扰和非微扰计算确定了前因子的表达式,发现其始终与$k^2$成正比。对于实标量,在较小的时间延迟下衰减呈高斯型,仅在大$t$时才过渡为指数衰减。因此,Kraichnan模型中随机速度场在时间上的delta相关假设,显著改变了小时间尺度下标量的统计时间行为。

英文摘要:

We provide the leading behavior at large wavenumbers of the two-point correlation function of a scalar field passively advected by a turbulent flow. We first consider the Kraichnan model, in which the turbulent carrier flow is modeled by a stochastic vector field with a Gaussian distribution, and then a scalar advected by a homogeneous and isotropic turbulent flow described by the Navier-Stokes equation, under the assumption that the scalar is passive, i.e. that it does not affect the carrier flow. We show that at large wavenumbers, the two-point correlation function of the scalar in the Kraichnan model decays as an exponential in the time delay, in both the inertial and dissipation ranges. We establish the expression, both from a perturbative and from a nonperturbative calculation, of the prefactor, which is found to be always proportional to $k^2$. For a real scalar, the decay is Gaussian in $t$ at small time delays, and it crosses over to an exponential only at large $t$. The assumption of delta-correlation in time of the stochastic velocity field in the Kraichnan model hence significantly alters the statistical temporal behavior of the scalar at small times.

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