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The study of a turbulent air flow over capillary-gravity water surface waves by direct numerical simulation

机译:通过直接数值模拟对毛细管 - 重力水表面波的湍流空气流动的研究

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摘要

The present study is concerned with direct numerical simulation (DNS) of turbulent air flow over a waved water surface. Three-dimensional, turbulent Couette flow is considered in DNS as a model of a constant-flux layer in the marine atmospheric surface layer. Two-dimensional stationary waves at the water surface are prescribed and assumed to be unaffected by the air-flow. We consider capillary-gravity water surface waves and are interested in the influence of "parasitic" capillary ripples riding on the carrier, energy-containing waves, on the properties of the air-flow. The surface waves are prescribed and considered to be stationary, the capillaries being in phase with the carrier wave. The surface elevations spectra are also prescribed and mimicking stationary capillaries riding on Stokes waves observed in a 2D numerical simulation of water-surface capillary-gravity waves by Hung & Tsai (2009). The bulk air velocity and the carrier water surface waves lengths are considered in our DNS in the range of 3 to 5 m/s and 3 to 7 cm, respectively. Under these conditions, the capillaries are found to be submerged within the viscous sublayer of the atmospheric boundary layer. Our DNS results show that although the flow fields are characterized by instantaneous separations of the boundary layer, the ensemble (wave-phase) averaged flow fields are non-separating and well predicted by a quasilinear theoretical model. We find also that capillaries mitigate the development of coherent (horse-shoe) vortex structures as compared to the no-ripples flow-case. We further use DNS results and quasilinear model formulation to parameterize the water surface roughness height in terms of critical layer thickness and the amplitude of a dominant, energy-containing harmonic of the water surface elevation spectrum.
机译:本研究涉及挥动水表面上湍流空气流的直接数值模拟(DNS)。在DNS中考虑三维,湍流耦合流量作为海洋大气表面层中恒定通量层的模型。在水面上的二维固定波被规定并假设不受空气流动的影响。我们认为毛细管 - 重力水表面波,并对“寄生虫”毛细血管骑在空气流动的性质上的“寄生”毛细血管涟漪骑行的影响。表面波被规定并被认为是静止的,毛细管与载波相位相位。表面高度光谱还规定并模仿在洪和Tsai(2009)的水表面毛细管 - 重力波的2D数值模拟中观察到的斯托克斯波的固定毛细血管。在3至5米/秒和3至7cm的DNS中,在我们的DNS中考虑散装空气速度和载体水表面波长度。在这些条件下,发现毛细血管被浸没在大气边界层的粘性子层内。我们的DNS结果表明,虽然流场的特征在于边界层的瞬时分离,但是集合(波相)平均流场是不分离的并且通过准理论模型预测。与无涟漪流箱相比,我们发现毛细血管减轻了相干(马蹄)涡旋结构的开发。我们进一步使用DNS结果和准线性模型配方在临界层厚度和含有水表面升高光谱的含有优势,含能谐波的幅度方面进行参数化水面粗糙度高度。

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