CaltechAUTHORS
  A Caltech Library Service

A Chebyshev-based rectangular-polar integral solver for scattering by general geometries described by non-overlapping patches

Bruno, Oscar P. and Garza, Emmanuel (2018) A Chebyshev-based rectangular-polar integral solver for scattering by general geometries described by non-overlapping patches. . (Submitted) https://resolver.caltech.edu/CaltechAUTHORS:20181102-090626983

[img] PDF - Submitted Version
See Usage Policy.

6Mb

Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20181102-090626983

Abstract

This paper introduces a high-order-accurate strategy for integration of singular kernels and edge-singular integral densities that appear in the context of boundary integral equation formulations of the problem of acoustic scattering. In particular, the proposed method is designed for use in conjunction with geometry descriptions given by a set of arbitrary non-overlapping logically-quadrilateral patches---which makes the algorithm particularly well suited for treatment of CAD-generated geometries. Fejér's first quadrature rule is incorporated in the algorithm, to provide a spectrally accurate method for evaluation of contributions from far integration regions, while highly-accurate precomputations of singular and near-singular integrals over certain "surface patches" together with two-dimensional Chebyshev transforms and suitable surface-varying "rectangular-polar" changes of variables, are used to obtain the contributions for singular and near-singular interactions. The overall integration method is then used in conjunction with the linear-algebra solver GMRES to produce solutions for sound-soft open- and closed-surface scattering obstacles, including an application to an aircraft described by means of a CAD representation. The approach is robust, fast, and highly accurate: use of a few points per wavelength suffices for the algorithm to produce far-field accuracies of a fraction of a percent, and slight increases in the discretization densities give rise to significant accuracy improvements.


Item Type:Report or Paper (Discussion Paper)
Related URLs:
URLURL TypeDescription
http://arxiv.org/abs/1807.01813arXivDiscussion Paper
ORCID:
AuthorORCID
Bruno, Oscar P.0000-0001-8369-3014
Additional Information:The authors gratefully acknowledge support by NSF, AFOSR and DARPA through contracts DMS-1411876 and FA9550-15-1-0043 and HR00111720035, and the NSSEFF Vannevar Bush Fellowship under contract number N00014-16-1-2808. Additionally, the authors thank Dr. Edwin Jimenez and Dr. James Guzman for providing the CAD geometry used in Section 4.4.
Funders:
Funding AgencyGrant Number
NSFDMS-1411876
Air Force Office of Scientific Research (AFOSR)FA9550-15-1-0043
Defense Advanced Research Projects Agency (DARPA)HR00111720035
National Security Science and Engineering Faculty FellowshipN00014-16-1-2808
Record Number:CaltechAUTHORS:20181102-090626983
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20181102-090626983
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:90609
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:02 Nov 2018 16:24
Last Modified:03 Oct 2019 20:27

Repository Staff Only: item control page