Issue |
ESAIM: M2AN
Volume 59, Number 1, January-February 2025
|
|
---|---|---|
Page(s) | 201 - 230 | |
DOI | https://doi.org/10.1051/m2an/2024078 | |
Published online | 08 January 2025 |
Reduced basis method for the elastic scattering by multiple shape-parametric open arcs in two dimensions
1
Facultad de Ingeniería y Ciencias, Universidad Adolfo Ibáñez, Santiago, Chile
2
Chair of Computational Mathematics and Simulation Science (MCSS), École Polytechnique Fédéral de Lausanne, Lausanne, Switzerland
* Corresponding author: fernando.henriquez@asc.tuwien.ac.at
Received:
16
March
2024
Accepted:
28
October
2024
We consider the elastic scattering problem by multiple disjoint arcs or cracks in two spatial dimensions. A key aspect of our approach lies in the parametric description of each arc’s shape, which is controlled by a potentially high-dimensional, possibly countably infinite, set of parameters. We are interested in the efficient approximation of the parameter-to-solution map employing model order reduction techniques, specifically the reduced basis method. Firstly, we use boundary potentials to transform the boundary value problem, originally posed in an unbounded domain, into a system of boundary integral equations set on the parametrically defined open arcs. We adopt the two-phase paradigm (offline and online) of the reduced basis method to construct a fast surrogate. In the offline phase, we construct a reduced order basis tailored to the single arc problem assuming a complete decoupling among arcs. In the online phase, when computing solutions for the multiple arc problem with a new parametric input, we use the aforementioned basis for each individual arc. We present a comprehensive theoretical analysis of the method, fundamentally based on our previous work [Pinto et al., J. Fourier Anal. Appl. 30 (2024) 14]. In particular, the results stated therein allow us to find appropriate bounds for the so-called Kolmogorov width. Finally, we present a series of numerical experiments demonstrating the advantages of our proposed method in terms of both accuracy and computational efficiency.
Mathematics Subject Classification: 35J05 / 65R20 / 65N38
Key words: Model order reduction / reduced basis method / boundary element method / open arcs
© The authors. Published by EDP Sciences, SMAI 2025
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