Reduced basis method for the elastic scattering by multiple shape-parametric open arcs in two dimensions
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.
Authors
- Jose Renato Pinto (ORCID: https://orcid.org/0000-0001-9092-4976)
- Fernando Henríquez (ORCID: https://orcid.org/0000-0001-9854-9680)
Publication Details
- Journal
- ESAIM. Mathematical modelling and numerical analysis
- Published
- 2024-11-05
- DOI
- https://doi.org/10.1051/m2an/2024078
- Citations
- 2
- Primary Topic
- Electromagnetic Scattering and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.68
Funders
- Agencia Nacional de Investigación y Desarrollo