A Model-Order Reduction Approach for Electromagnetic Problems With Nonaffine Frequency Dependence - Publikacja - MOST Wiedzy

Wyszukiwarka

A Model-Order Reduction Approach for Electromagnetic Problems With Nonaffine Frequency Dependence

Abstrakt

The aim of this paper is to present a novel model-order reduction (MOR) technique for the efcient frequency-domain nite-element method (FEM) simulation of microwave components. It is based on the standard reduced-basis method, but the subsequent expansion frequency points are selected following the so-called sparsied greedy strategy. This feature makes it especially useful to perform a fast-frequency sweep of problems that lead to systems of equations exhibiting a nonafne frequency dependence. This property appears, for example, when the excitation of the problem is characterized by a frequency-dependent waveguide mode pattern, or when the computational domain includes materials with frequency-dependent permittivity or permeability tensors. Moreover, the new MOR scheme can be also used to accelerate the frequency sweep of problems with many excitations, for which the standard reduction algorithms tend to be time-consuming. Its effectiveness and accuracy is veried through analysis of three microwave structures: planar microstrip branch-line coupler, three-port waveguide junction with ferrite post, and an eighth-order dual-mode waveguide lter.

Cytowania

  • 1

    CrossRef

  • 0

    Web of Science

  • 1

    Scopus

Cytuj jako

Pełna treść

pobierz publikację
pobrano 84 razy
Wersja publikacji
Accepted albo Published Version
Licencja
Creative Commons: CC-BY otwiera się w nowej karcie

Słowa kluczowe

Informacje szczegółowe

Kategoria:
Publikacja w czasopiśmie
Typ:
artykuły w czasopismach
Opublikowano w:
IEEE Access nr 9, strony 47481 - 47490,
ISSN: 2169-3536
Język:
angielski
Rok wydania:
2021
Opis bibliograficzny:
Fotyga G.: A Model-Order Reduction Approach for Electromagnetic Problems With Nonaffine Frequency Dependence// IEEE Access -Vol. 9, (2021), s.47481-47490
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1109/access.2021.3068937
Źródła finansowania:
Weryfikacja:
Politechnika Gdańska

wyświetlono 181 razy

Publikacje, które mogą cię zainteresować

Meta Tagi