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A Spectral Boundary Element Method for Scattering Problems

by J. Tausch1, J. Xiao2

Southern Methodist University, Department of Mathematics, Dallas, TX, USA
College of Astronautics, Northwestern Polytechnical University, Xi’an 710072, China

Computer Modeling in Engineering & Sciences 2010, 58(3), 221-246. https://doi.org/10.3970/cmes.2010.058.221

Abstract

A fast method for the computation of layer potentials that arise in acoustic scattering is introduced. The principal idea is to split the singular kernel into a smooth and a local part. The potential due to the smooth part is discretized by a Nyström method and is evaluated efficiently using a sequence of FFTs. The potential due to the local part is approximated by a truncated series in the mollification parameter. The smooth approximation of the kernel is obtained by multiplication of its Fourier transform with a filter. We will show that for a rational filter the smooth part and the expansion coefficients of the local part can be found in closed form. The accuracy of the method is determined by the number of Fourier modes, the mollification parameter and the mesh width of discretization. We will investigate how to choose the parameters as a function of the wave number. The effectiveness of the method is illustrated for medium-sized scatterers (50-100 wavelengths) that may have complicated geometry.

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Cite This Article

APA Style
Tausch, J., Xiao, J. (2010). A spectral boundary element method for scattering problems. Computer Modeling in Engineering & Sciences, 58(3), 221-246. https://doi.org/10.3970/cmes.2010.058.221
Vancouver Style
Tausch J, Xiao J. A spectral boundary element method for scattering problems. Comput Model Eng Sci. 2010;58(3):221-246 https://doi.org/10.3970/cmes.2010.058.221
IEEE Style
J. Tausch and J. Xiao, “A Spectral Boundary Element Method for Scattering Problems,” Comput. Model. Eng. Sci., vol. 58, no. 3, pp. 221-246, 2010. https://doi.org/10.3970/cmes.2010.058.221



cc Copyright © 2010 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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