论文标题

使用墙测量的基于湍流通道流的基于分解的估计

Resolvent-based estimation of turbulent channel flow using wall measurements

论文作者

Amaral, Filipe R., Cavalieri, André V. G., Martini, Eduardo, Jordan, Peter, Towne, Aaron

论文摘要

我们采用基于解决方案的方法来估计摩擦雷诺数在湍流通道流中的速度和压力波动,该方法使用直接数值模拟(DNS)数据库中的壁上应力和壁上的剪切应力和壁上的剪切应力和压力进行测量。 Martini等。 (J. Fluid Mech。,第900、2021卷,A2)表明,当利用真实的时空强迫统计数据时,基于分解的估计器是最佳的,因此为任何线性估计器的准确性提供了上限。我们使用此框架来确定可以从墙测量值线性估计的流结构,并表征这些结构以及物理和波数空间中的估计误差。我们还将这些结果与使用近似强迫模型获得的结果(一种涡流模型和白噪声强迫)进行了比较,并证明了使用真实强迫统计的显着好处。所有模型都会导致到缓冲层的准确结果,但是只有使用真实的强迫统计数据才能准确估算大型日志​​层结构,并且在整个频道中估计值和DNS结果之间存在显着相关性。涡流模型显示了中间行为,这可能与其部分捕获强迫颜色的能力有关。我们的结果表明,可以使用基于线性分辨率的方法准确地估算在通道壁上的占地面积的结构,并且存在大规模壁连接结构的存在可以通过对数层进行准确的估计。

We employ a resolvent-based methodology to estimate velocity and pressure fluctuations within turbulent channel flows at friction Reynolds numbers of approximately 180, 550 and 1000 using measurements of shear stress and pressure at the walls, taken from direct numerical simulation (DNS) databases. Martini et al. (J. Fluid Mech., vol. 900, 2021, A2) showed that the resolvent-based estimator is optimal when the true space-time forcing statistics are utilized, thus providing an upper bound for the accuracy of any linear estimator. We use this framework to determine the flow structures that can be linearly estimated from wall measurements, and we characterize these structures and the estimation errors in both physical and wavenumber space. We also compare these results to those obtained using approximate forcing models - an eddy-viscosity model and white-noise forcing - and demonstrate the significant benefit of using true forcing statistics. All models lead to accurate results up to the buffer-layer, but only using the true forcing statistics allows accurate estimation of large-scale log-layer structures, with significant correlation between the estimates and DNS results throughout the channel. The eddy-viscosity model displays an intermediate behaviour, which may be related to its ability to partially capture the forcing colour. Our results show that structures that leave a footprint on the channel walls can be accurately estimated using the linear resolvent-based methodology, and the presence of large-scale wall-attached structures enables accurate estimations through the logarithmic layer.

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