Free Surface Flows and Transport Processes

Free Surface Flows and Transport Processes
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自由表面流和传输过程

DOI:
10.1007/978-3-319-70914-7_10
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发表时间:
2018
期刊:
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影响因子:
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通讯作者:
Dolcetti G
Dolcetti G
中科院分区:
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文献类型:
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作者:
Dolcetti G

文献摘要

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远程估计浅层湍流平均表面速度的方法相对于传统测量技术具有优势,因为其成本低且维护要求低。及时测量被水面散射的空气声场可以基于固定相方法重建某一位置的表面高程。本文提供的实验数据表明,当平均表面速度大于重力毛细波的最小相速度时,这些流中自由表面高程的频率功率谱几乎与驻波波数和平均表面速度的乘积成线性比例。利用这种缩放比例是为了基于使用两个超声波换能器对高程进行远程声学测量来远程估计平均表面速度。这一观察结果为开发一系列新型声学传感器铺平了道路,这些传感器可以在一系列亚临界流动条件下远程测量浅层湍流的平均表面速度。
Methods to estimate the mean surface velocity of shallow turbulent flows remotely are advantageous with respect to traditional measurement techniques because of their low cost, and little maintenance requirements. The measurement of the airborne acoustic field scattered by the water surface in time allows the reconstruction of the surface elevation at one location, based on the stationary phase method. Experimental data presented in this paper shows that when the mean surface velocity is larger than the minimum phase velocity of gravity capillary waves, the frequency power spectra of the free surface elevation in these flows scale almost linearly with the product of the wavenumber of the stationary waves and of the mean surface velocity. This scaling is exploited in order to estimate the mean surface velocity remotely, based on the remote acoustic measurement of the elevation with two ultrasonic transducers. This observation paves the way for the development of a new range of acoustic sensors that can measure the mean surface velocity of shallow turbulent flows remotely for a range of sub critical flow conditions.