Image Conditions for Elliptical-Coordinate Separation-of-Variables Acoustic Multiple Scattering Models with Perfectly Reflecting Flat Boundaries: Application to in Situ Tunable Noise Barriers

IF 0.8
Ho-Chul Shin
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Abstract

SUMMARY Two-dimensional time-harmonic multiple scattering problems are addressed for a finite number of elliptical objects placed in wedge-shaped acoustic domains including half-plane and right-angled corners. The method of separation of variables in conjunction with the addition theorems is employed in the elliptical coordinates. The wavefunctions are represented in terms of radial and angular Mathieu functions. The method of images is applied to consider the effect of the infinitely long flat boundaries which are perfectly reflecting: either rigid or pressure release. The wedge angle is $\pi/n$ rad with integer $n$ ; image ellipses must be appropriately rotated to realise the mirror reflection. Then, the ‘image conditions’ are developed to reduce the number of unknowns by expressing the unknown expansion coefficients of image scattered fields in terms of real counterparts. Use of image conditions, therefore, leads to the $4n^2$ -fold reduction in the size of a matrix for direct solvers and $2n$ -times faster computation in building the system of linear equations than the approach without using them. Multiple scattering models using image conditions are formulated for rigid, pressure release and fluid ellipses under either plane- or cylindrical-wave incidence, and are numerically validated by the boundary element method. Furthermore, potential applications are presented: arrays of elliptically shaped scatterers make in situ tunable noise barriers by rotating scatterers. Finally, polar-coordinate image conditions (for circular objects) are also discussed when coordinates local to circles are also rotated. In Appendix, analytic formulae are provided, which permits the elliptical-coordinate addition theorems used in this article to be calculated by summation instead of numerical integration.
具有完美反射平边界的椭圆坐标变量分离声学多重散射模型的成像条件:在原位可调噪声屏障中的应用
研究了放置在楔形声场(包括半平面声场和直角声场)中的有限数量椭圆物体的二维时谐多重散射问题。在椭圆坐标系中采用了分离变量的方法,并结合了加法定理。波函数用径向和角马修函数表示。应用图像的方法来考虑完美反射的无限长平面边界的影响:刚性或压力释放。楔形角为$\pi/n$ rad,整数$n$;图像椭圆必须适当旋转以实现镜面反射。然后,开发了“图像条件”,通过将图像散射场的未知展开系数表示为实际对应项来减少未知数的数量。因此,使用图像条件导致直接求解的矩阵大小减少了4n^2美元,并且在构建线性方程系统时的计算速度比不使用它们的方法快2n美元。针对平面波和圆柱波入射下的刚性、压力释放和流体椭圆,建立了基于图像条件的多重散射模型,并用边界元法进行了数值验证。此外,还提出了潜在的应用:椭圆型散射体阵列通过旋转散射体形成原位可调谐的噪声屏障。最后,还讨论了在旋转圆的局部坐标时的极坐标图像条件(对于圆形物体)。在附录中,给出了解析公式,使得本文所使用的椭圆坐标加法定理可以用求和来代替数值积分来计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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