论文标题

在湍流通道流的分解分析中强迫统计的颜色

The colour of forcing statistics in resolvent analyses of turbulent channel flows

论文作者

Morra, Pierluigi, Nogueira, Petronio A. S., Cavalieri, André V. G., Henningson, Dan S.

论文摘要

在这里首次对分析分析中非线性强迫的跨光谱密度(CSD)首次量化了湍流通道流。 $re_τ= 179 $和$re_τ= 543 $的直接数值仿真(DNS)。计算CSD的高能结构,用于缓冲层和大规模运动的典型结构,用于不同的时间频率。表明非线性强迫的CSD在空间中不相关(白色),这意味着强迫是结构化的。由于非线性强迫是通过构造的非溶解液,并且不可压缩流的速度仅受强迫的电磁部分影响,因此评估了该电磁阀部分。结果表明,非线性强迫的螺线管部分是倾斜的流向涡旋和彼此抵消的流向分量的组合,如破坏性干扰。结果表明,只有最能量的SPOD(光谱正交分解)模式的强迫级别近似可导致大部分响应。评估了非线性强迫在分解载体上的投影。与非常低的象征奇异值相关的分解的左灵矢量是不可忽略的,因为非线性强迫术语对分辨分析的线性亚比较分析具有不可忽略的投影。当强迫用涡流方法建模时,计算相同的预测。可以澄清的是,这种建模提高了预测的准确性,因为预测更接近与DNS数据的非线性强迫相关的预测。

The cross-spectral density (CSD) of the non-linear forcing in resolvent analyses is here quantified for the first time for turbulent channel flows. Direct numerical simulations (DNS) at $Re_τ =179$ and $Re_τ =543$ are performed. The CSDs are computed for highly energetic structures typical of buffer-layer and large-scale motions, for different temporal frequencies. The CSD of the non-linear forcing is shown not to be uncorrelated (white) in space, which implies the forcing is structured. Since the non-linear forcing is non-solenoidal by construction and the velocity of an incompressible flow is affected only by the solenoidal part of the forcing, this solenoidal part is evaluated. It is shown that the solenoidal part of the non-linear forcing is the combination of oblique streamwise vortices and a streamwise component which counteract each other, as in a destructive interference. It is shown that a rank-2 approximation of the forcing, with only the most energetic SPOD (spectral proper orthogonal decomposition) modes, leads to the bulk of the response. The projections of the non-linear forcing onto the right-singular vectors of the resolvent are evaluated. The left-singular vectors of the resolvent associated with very low-magnitude singular values are non-negligible since the non-linear forcing term has a non-negligible projection onto the linear sub-optimals of resolvent analysis. The same projections are computed when the forcing is modelled with an eddy-viscosity approach. It is clarified that this modelling improves the accuracy of the prediction since the projections are closer to those associated with the non-linear forcing from DNS data.

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