Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Rational-approximation-based model order reduction of Helmholtz frequency response problems with adaptive finite element snapshots. |
| Συγγραφείς: |
Bonizzoni, Francesca, Pradovera, Davide, Ruggeri, Michele |
| Πηγή: |
Mathematics in Engineering; 2023, Vol. 5 Issue 4, p1-38, 38p |
| Θεματικοί όροι: |
Boundary value problems, Approximation theory, Helmholtz equation, Finite element method, Mathematical formulas |
| Περίληψη: |
We introduce several spatially adaptive model order reduction approaches tailored to noncoercive elliptic boundary value problems, specifically, parametric-in-frequency Helmholtz problems. The offline information is computed by means of adaptive finite elements, so that each snapshot lives in a different discrete space that resolves the local singularities of the analytical solution and is adjusted to the considered frequency value. A rational surrogate is then assembled adopting either a least-squares or an interpolatory approach, yielding a function-valued version of the the standard rational interpolation method (V-SRI) and the minimal rational interpolation method (MRI). In the context of building an approximation for linear or quadratic functionals of the Helmholtz solution, we perform several numerical experiments to compare the proposed methodologies. Our simulations show that, for interior resonant problems (whose singularities are encoded by poles on the real axis), the spatially adaptive V-SRI and MRI work comparably well. Instead, when dealing with exterior scattering problems, whose frequency response is mostly smooth, the V-SRI method seems to be the best-performing one. [ABSTRACT FROM AUTHOR] |
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| Βάση Δεδομένων: |
Complementary Index |