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Statistical structure of the fluctuating wall pressure and its in-plane gradients at high Reynolds number

机译:高雷诺数下壁面压力波动及其面内梯度的统计结构

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The fluctuating wall pressure and its gradients in the plane of the surface were measured beneath the turbulent boundary layer that forms over the salt playa of Utah's west desert. Measurements were acquired under the condition of near-neutral thermal stability to best mimic the canonical zero-pressure re-gradient boundary-layer flow. The Reynolds number (based on surface-layer thickness, 6, and the friction velocity, u(tau)) was estimated to be 1 x 10(6) +/- 2 x 10(5). The equivalent sandgrain surface roughness was estimated to be in the range 15 <= k(s)(+) <= 85. Pressure measurements acquired simultaneously from an array Of Lip to ten microphones were analysed. A compact array of four microphones was used to estimate the instantaneous streamwise and spanwise gradients of the surface pressure. Owing to the large length scales and low flow speeds, attaining accurate pressure statistics in the present flow required sensors capable of measuring unusually low frequencies. The effects of imperfect spatial and temporal resolution on the present measurements were also explored. Relative to pressure, pressure gradients exhibit an enhanced sensitivity to spatial resolution. Their accurate measurement does not, however, require fully capturing the low frequencies that are inherent and significant in the pressure itself. The present pressure spectra convincingly exhibit over three decades of approximately -1 slope. Comparisons with low-Reynolds-number data support previous predictions that the inner normalized wall pressure variance increases logarithmically with Reynolds number. The wall pressure autocorrelation exhibits its first zero-crossing at an advected length that is between one tenth and one fifth of the surface-layer thickness. Under any of the normalizations investigated, the present surface vorticity flux Intensity values are difficult to reconcile with low-Reynolds-number data trends. Inner variables, however, do yield normalized flux intensity values that are of the same order of magnitude at low and high Reynolds number. Spectra reveal that even at high Reynolds number, the primary contributions to the pressure gradient intensities occur over a relatively narrow frequency range. This frequency range is shown to be consistent with the scale of the sublayer pocket motions. In accord with low-Reynolds-number data, the streamwise pressure gradient signals at high Reynolds number are also characterized by statistically significant pairings of opposing Sign fluctuations.
机译:在犹他州西部沙漠的盐滩上形成的湍流边界层之下,测量了壁面波动的壁压力及其梯度。在接近中性的热稳定性条件下进行测量,以最好地模拟规范的零压力再梯度边界层流动。雷诺数(基于表面层厚度6和摩擦速度u(tau))估计为1 x 10(6)+/- 2 x 10(5)。等效的沙粒表面粗糙度估计在15 <= k(s)(+)<= 85的范围内。分析了从Lip阵列到十个麦克风的同时采集的压力测量值。使用四个麦克风的紧凑阵列来估计表面压力的瞬时沿河向和跨度的梯度。由于长刻度和低流速,要在当前流量中获得准确的压力统计数据,就需要能够测量异常低频的传感器。还探讨了不完善的空间和时间分辨率对当前测量的影响。相对于压力,压力梯度对空间分辨率表现出增强的敏感性。但是,它们的精确测量不需要完全捕获压力本身固有和重要的低频。目前的压力谱令人信服地显示了超过十年的大约-1斜率。与低雷诺数数据的比较支持先前的预测,即内部标准化壁压方差与雷诺数成对数关系。壁压力自相关在平移长度处表现出其第一个零交叉点,该平移长度在表面层厚度的十分之一到五分之一之间。在所研究的任何归一化下,当前的表面涡通量强度值很难与低雷诺数数据趋势进行协调。但是,内部变量的确会产生标准化的磁通强度值,该值在低雷诺数和高雷诺数下都具有相同的数量级。光谱显示,即使在高雷诺数下,对压力梯度强度的主要贡献也发生在相对较窄的频率范围内。该频率范围显示为与子层口袋运动的比例一致。与低雷诺数数据一致,在高雷诺数时的流向压力梯度信号还具有相反的Sign波动的统计上显着的配对。

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