Acoustic imaging in application to reconstruction of rough rigid surface with airborne ultrasound waves.
Acoustic imaging in application to reconstruction of rough rigid surface with airborne ultrasound waves.
复制标题
声学成像应用于用机载超声波重建粗糙刚性表面。
DOI：
10.1063/1.4974842
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
S. Hunting
中科院分区：
文献类型：
--
作者：
A. Krynkin;G. Dolcetti;S. Hunting
表面粗糙度的精确重建对科学和工程的各个领域都具有重要意义。该技术的一个重要应用是通过观测明渠水流的动态表面粗糙度来进行明渠水流的远程监测。本文提出了一种新的航空声学粗糙度重建方法，并与静态刚性粗糙表面进行了测试。该方法基于声全息原理和基尔霍夫近似，利用在沿着分布的多个接收点收集的声压数据，采用吉洪诺夫正则化和广义交叉验证技术求解欠定的声压方程组。实验数据是在用3D打印机创建的粗糙度上收集的。对于给定的表面，它表明，所提出的方法与接收器的位置的各种数量工作良好。在本文中，可以重建表面高程的表面点的数量和接收器位置的数量之间的测试比率为2.5，5和7.5。结果表明，在与主方向性瓣的投影尺寸相当的区域内，该方法能够以20%的精度重建实际表面高程的空间谱密度。
Accurate reconstruction of the surface roughness is of high importance to various areas of science and engineering. One important application of this technology is for remote monitoring of open channel flows through observing its dynamic surface roughness. In this paper a novel airborne acoustic method of roughness reconstruction is proposed and tested with a static rigid rough surface. This method is based on the acoustic holography principle and Kirchhoff approximation which make use of acoustic pressure data collected at multiple receiver points spread along an arch. The Tikhonov regularisation and generalised cross validation technique are used to solve the underdetermined system of equations for the acoustic pressures. The experimental data are collected above a roughness created with a 3D printer. For the given surface, it is shown that the proposed method works well with the various number of receiver positions. In this paper, the tested ratios between the number of surface points at which the surface elevation can be reconstructed and number of receiver positions are 2.5, 5, and 7.5. It is shown that, in a region comparable with the projected size of the main directivity lobe, the method is able to reconstruct the spatial spectrum density of the actual surface elevation with the accuracy of 20%.
DOI：
10.1063/1.4901932
发表时间：
2014-11
期刊：
The Review of scientific instruments
影响因子：
--
作者：
A. Krynkin;K. Horoshenkov;Andrew Nichols;Simon Tait
通讯作者：
A. Krynkin;K. Horoshenkov;Andrew Nichols;Simon Tait
影响因子：
3.9
作者：
Horoshenkov, K. V.;Nichols, A.;Maximov, G. A.
通讯作者：
Maximov, G. A.
影响因子：
2.3
作者：
Nichols, Andrew;Tait, Simon J.;Shepherd, Simon J.
通讯作者：
Shepherd, Simon J.