Li Xun, Becker Theodor, Ravasi Matteo, Robertsson Johan, van Manen Dirk-Jan
Institute of Geophysics, Eidgenössische Technische Hochschule Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland.
Earth Science and Engineering, King Abdullah University of Science and Technology, Thuwal 23955, Kingdom of Saudi Arabia.
J Acoust Soc Am. 2021 Mar;149(3):1813. doi: 10.1121/10.0003706.
In physical acoustic laboratories, wave propagation experiments often suffer from unwanted reflections at the boundaries of the experimental setup. We propose using multidimensional deconvolution (MDD) to post-process recorded experimental data such that the scattering imprint related to the domain boundary is completely removed and only the Green's functions associated with a scattering object of interest are obtained. The application of the MDD method requires in/out wavefield separation of data recorded along a closed surface surrounding the object of interest, and we propose a decomposition method to separate such data for arbitrary curved surfaces. The MDD results consist of the Green's functions between any pair of points on the closed recording surface, fully sampling the scattered field. We apply the MDD algorithm to post-process laboratory data acquired in a two-dimensional acoustic waveguide to characterize the wavefield scattering related to a rigid steel block while removing the scattering imprint of the domain boundary. The experimental results are validated with synthetic simulations, corroborating that MDD is an effective and general method to obtain the experimentally desired Green's functions for arbitrary inhomogeneous scatterers.
在物理声学实验室中，波传播实验常常受到实验装置边界处不必要反射的影响。我们建议使用多维反卷积（MDD）对记录的实验数据进行后处理，以便完全消除与域边界相关的散射印记，仅获得与感兴趣的散射物体相关的格林函数。MDD方法的应用需要对沿围绕感兴趣物体的封闭表面记录的数据进行入射/出射波场分离，我们提出了一种分解方法来分离任意曲面的此类数据。MDD结果由封闭记录表面上任意两点之间的格林函数组成，对散射场进行了充分采样。我们应用MDD算法对在二维声波导中获取的实验室数据进行后处理，以表征与刚性钢块相关的波场散射，同时消除域边界的散射印记。实验结果通过合成模拟得到验证，证实MDD是一种有效且通用的方法，可用于获取任意非均匀散射体的实验所需格林函数。
