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Hierarchical matrices for 3D Helmholtz problems in multi-patch IgA-BEM setting

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Authors : Sampoli, Maria-Lucia (Author of the conference)
CIRM (Publisher )

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Abstract : The development of a suitable, efficient and accurate numerical method to solve wave problems is encountered in many academic and industrial applications. The Boundary Integral Equation (BIE) technique, whose discretization is known as the Boundary Element Method (BEM), is an appealing alternative to classical domain method because it allows to handle problems defined on the exterior of bounded domains as easily as those defined in the interior, without the introduction of an artificial boundary to truncate the computational domain. Very recently, an Isogeometric Analysis based Boundary Element Method (IgA-BEM) has been proposed in literature for the numerical solution of frequency-domain (Helmholtz) wave problems on 3D domains admitting a multi-patch representation of the boundary surface. While being powerful and applicable to many situations, this approach shares with standard BEMs a disadvantage which can easily become significant in the 3D setting. Indeed, when the required accuracy is increased, it can soon lead to large dense linear systems, whose numerical solution requires huge memory, resulting also in important computational cost. Recently the development of fast H-matrix based direct and iterative solvers for oscillatory kernels, as the Helmholtz one, has been studied. Here, we investigate the effectiveness of the H-matrix technique, along with a suitable GMRES iterative solver, when used in the context of multi-patch IgA-BEM.

Keywords : Helmholtz equation; isogeometric analysis; boundary element methods; hierarchical matrices

MSC Codes :

Additional resources :
https://jdigne.github.io/sigma2024/slides/Sampoli.pdf

    Information on the Video

    Film maker : Recanzone, Luca
    Language : English
    Available date : 22/11/2024
    Conference Date : 31/10/2024
    Subseries : Research talks
    arXiv category : Numerical Analysis
    Mathematical Area(s) : Numerical Analysis & Scientific Computing
    Format : MP4 (.mp4) - HD
    Video Time : 00:34:41
    Targeted Audience : Researchers ; Graduate Students ; Doctoral Students, Post-Doctoral Students
    Download : https://videos.cirm-math.fr/2024-10-31_Sampoli

Information on the Event

Event Title : SIGMA (Signal, Image, Geometry, Modeling, Approximation) / SIGMA (Signal, Image, Géométrie, Modélisation, Approximation)
Event Organizers : Cohen, Albert ; Digne, Julie ; Fadili, Jalal ; Mula, Olga ; Nouy, Anthony
Dates : 28/10/2024 - 01/11/2024
Event Year : 2024
Event URL : https://conferences.cirm-math.fr/3066.html

Citation Data

DOI : 10.24350/CIRM.V.20258203
Cite this video as: Sampoli, Maria-Lucia (2024). Hierarchical matrices for 3D Helmholtz problems in multi-patch IgA-BEM setting. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.20258203
URI : http://dx.doi.org/10.24350/CIRM.V.20258203

See Also

Bibliography

  • CHAILLAT, Stéphanie, DESIDERIO, Luca, et CIARLET, Patrick. Theory and implementation of H-matrix based iterative and direct solvers for Helmholtz and elastodynamic oscillatory kernels. Journal of Computational physics, 2017, vol. 351, p. 165-186. - https://doi.org/10.1016/j.jcp.2017.09.013

  • DEGLI ESPOSTI, Bruno, FALINI, Antonella, KANDUČ, Tadej, et al. IgA-BEM for 3D Helmholtz problems using conforming and non-conforming multi-patch discretizations and B-spline tailored numerical integration. Computers & Mathematics with Applications, 2023, vol. 147, p. 164-184. - https://doi.org/10.1016/j.camwa.2023.07.012

  • HACKBUSCH, Wolfgang. A sparse matrix arithmetic based on-matrices. Part I: Introduction to-matrices. Computing, 1999, vol. 62, no 2, p. 89-108. - https://doi.org/10.1007/s006070050015

  • HUGHES, Thomas JR, COTTRELL, John A., et BAZILEVS, Yuri. Isogeometric analysis: CAD, finite elements, NURBS, exact geometry and mesh refinement. Computer methods in applied mechanics and engineering, 2005, vol. 194, no 39-41, p. 4135-4195. - https://doi.org/10.1016/j.cma.2004.10.008



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