Boundary Effects in Radiative Transfer of Acoustic Waves in a Randomly Fluctuating Half-space

IF 1.9 4区 数学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Multiscale Modeling & Simulation Pub Date : 2023-09-25 DOI:10.1137/22m1537795
Adel Messaoudi, Regis Cottereau, Christophe Gomez
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引用次数: 1

Abstract

This paper concerns the derivation of radiative transfer equations for acoustic waves propagating in a randomly fluctuating half-space in the weak-scattering regime, and the study of boundary effects through an asymptotic analysis of the Wigner transform of the wave solution. These radiative transfer equations allow one to model the transport of wave energy density, taking into account the scattering by random heterogeneities. The approach builds on the method of images, where the half-space problem is extended to a full-space, with two symmetric sources and an even map of mechanical properties. Two contributions to the total energy density are then identified: one similar to the energy density propagation in a full-space, for which the resulting lack of statistical stationarity of the medium properties has no leading-order effect; and one supported within one wavelength of the boundary, which describes interference effects between the waves produced by the two symmetric sources. In the case of a homogeneous Neumann boundary conditions, this boundary effect yields a doubling of the intensity, and in the case of homogeneous Dirichlet boundary conditions, a canceling of that intensity.
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随机波动半空间中声波辐射传递的边界效应
本文讨论了在弱散射条件下在随机波动半空间中传播的声波的辐射传递方程的推导,并通过波解的Wigner变换的渐近分析研究了边界效应。这些辐射传递方程允许人们模拟波能量密度的传输,同时考虑到随机非均质性的散射。该方法建立在图像方法的基础上,将半空间问题扩展到全空间,具有两个对称源和一个均匀的力学性质映射。然后确定了对总能量密度的两种贡献:一种类似于全空间中的能量密度传播,因此介质性质的统计平稳性缺乏没有领先级效应;一个支持在边界的一个波长内,它描述了两个对称光源产生的波之间的干涉效应。在齐次诺伊曼边界条件下,这种边界效应会产生双倍的强度,而在齐次狄利克雷边界条件下,这种强度会抵消。
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来源期刊
Multiscale Modeling & Simulation
Multiscale Modeling & Simulation 数学-数学跨学科应用
CiteScore
2.80
自引率
6.20%
发文量
45
审稿时长
6-12 weeks
期刊介绍: Centered around multiscale phenomena, Multiscale Modeling and Simulation (MMS) is an interdisciplinary journal focusing on the fundamental modeling and computational principles underlying various multiscale methods. By its nature, multiscale modeling is highly interdisciplinary, with developments occurring independently across fields. A broad range of scientific and engineering problems involve multiple scales. Traditional monoscale approaches have proven to be inadequate, even with the largest supercomputers, because of the range of scales and the prohibitively large number of variables involved. Thus, there is a growing need to develop systematic modeling and simulation approaches for multiscale problems. MMS will provide a single broad, authoritative source for results in this area.
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