Characterising particulate random media from near-surface backscattering: A machine learning approach to predict particle size and concentration
Characterising particulate random media from near-surface backscattering: A machine learning approach to predict particle size and concentration
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从近表面反向散射表征颗粒随机介质：预测颗粒大小和浓度的机器学习方法
DOI：
10.1209/0295-5075/122/54001
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
I. David Abrahams
中科院分区：
文献类型：
--
作者：
A. Gower;R. Gower;J. Deakin;W. Parnell;I. David Abrahams
使用来自单个接收器/源的直接波反向散射可以在多大程度上表征颗粒随机介质？在这里，在二维设置中，我们使用机器学习方法表明，当颗粒上的边界条件是Dirichlet类型时，可以准确测量颗粒半径和浓度。尽管我们介绍的方法可以应用于任何粒子类型。一般来说，背散射是具有挑战性的解释范围广泛的颗粒浓度，因为多重散射不能忽略，除了在非常稀的范围。在1%到20%的浓度范围内，我们发现平均后向散射波场足以准确地确定颗粒的浓度。然而，为了精确地确定颗粒半径，二阶矩或背散射的平均强度是必要的。我们还能够确定什么是理想的频率范围来测量广泛的颗粒尺寸。为了通过监督机器学习获得严格的结果，需要一个大的，高精度的，来自充满粒子的无限半空间的后向散射波数据集。我们能够通过引入一种数值方法来创建这个数据集，该方法精确地近似了来自无限半空间的后向散射。
To what extent can particulate random media be characterised using direct wave backscattering from a single receiver/source? Here, in a two-dimensional setting, we show using a machine learning approach that both the particle radius and concentration can be accurately measured when the boundary condition on the particles is of Dirichlet type. Although the methods we introduce could be applied to any particle type. In general backscattering is challenging to interpret for a wide range of particle concentrations, because multiple scattering cannot be ignored, except in the very dilute range. Across the concentration range from 1% to 20% we find that the mean backscattered wave field is sufficient to accurately determine the concentration of particles. However, to accurately determine the particle radius, the second moment, or average intensity, of the backscattering is necessary. We are also able to determine what is the ideal frequency range to measure a broad range of particles sizes. To get rigorous results with supervised machine learning requires a large, highly precise, dataset of backscattered waves from an infinite half-space filled with particles. We are able to create this dataset by introducing a numerical approach which accurately approximates the backscattering from an infinite half-space.
模拟固体基质中空腔的非相干和相干反向散射波场。
DOI：
10.1121/1.4763985
发表时间：
2012
期刊：
The Journal of the Acoustical Society of America
影响因子：
--
作者：
Pinfield VJ
通讯作者：
Pinfield VJ
影响因子：
2.4
作者：
Martin, P. A.;Maurel, A.;Parnell, W. J.
通讯作者：
Parnell, W. J.