Grzegorz Fotyga - Publications - Bridge of Knowledge

Search

Filters

total: 39

  • Category
  • Year
  • Options

clear Chosen catalog filters disabled

Catalog Publications

Year 2023
Year 2022
Year 2021
  • A Model-Order Reduction Approach for Electromagnetic Problems With Nonaffine Frequency Dependence
    Publication

    - IEEE Access - Year 2021

    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...

    Full text available to download

Year 2020
Year 2019
Year 2018
Year 2017
Year 2016
  • Wideband Model Order Reduction for Macromodels in Finite Element Method
    Publication

    - Year 2016

    Abstract: This paper presents a novel algorithm for accelerating 3D Finite Element Method simulations by introducing macromodels created in local model order reduction in the selected subdomains of the computational domain. It generates the projection basis for a compact system of equations associated with a separate subdomain. Due to non-linear frequency dependency in the Right Hand Side (RHS), the standard reduction methods do...

    Full text to download in external service

  • Metody redukcji rzędu modelu w analizie elektromagnetycznej metodą elementów skończonych
    Publication

    - Year 2016

    Symulacje numeryczne są wykorzystywane w wielu gałęziach inżynierii, jako podstawowe narzędzie do modelowania zjawisk fizycznych. W trzech ostatnich dekadach zdobyły one szczególną popularność w odniesieniu do pól elektromagnetycznych, w ramach tzw. elektrodynamiki obliczeniowej. Są one niezastąpionym narzędziem w procesie projektowania i optymalizacji urządzeń i systemów mikrofalowych. Jedną z najczęściej wykorzystywanych technik...

  • Macromodeling techniques for accelerated finite element analysis
    Publication

    - Year 2016

    This paper deals with the Model Order Reduction applied locally in the Finite Element Method (FEM) analysis. Due to the reduction process, blocks of FEM system matrices associated with selected subregions of the computational domain are projected onto the subspaces spanned by the vectors of suited orthogonal projection basis. In effect, large and sparse FEM matrices are replaced with small and dense ones, called macromodels. This...

    Full text to download in external service

  • Efficient analysis of structures with rotatable elements using model order reduction
    Publication

    This paper presents a novel full-wave technique which allows for a fast 3D finite element analysis of waveguide structures containing rotatable tuning elements of arbitrary shapes. Rotation of these elements changes the resonant frequencies of the structure, which can be used in the tuning process to obtain the S-characteristics desired for the device. For fast commutations of the response as the tuning elements are rotated, the...

    Full text available to download

Year 2015
Year 2014
Year 2013
Year 2012
Year 2011
Year 2010
  • Reduced-order models in the finite element analysis
    Publication

    A novel technique of incorporating macromodels into finite element electromagnetic analysis of waveguide components is presented. Macromodels are generated by using a model order reduction algorithm (ENOR), which results in significant decrease of the number of variables, that describe the computational region. Proposed technique allows for using a few independent macromodels as well as to duplicating one macromodel in many subregions...

    Full text to download in external service

  • Macromodels for efficient FEM simulations of waveguides and resonators
    Publication

    This paper introduces a novel technique for enhancing the efficiency of the finite element method (FEM) by incorporating special modules, called macromodels, into the standard eigenvalue formulation. The number of unknowns in the separated macromodel subdomain can be significantly reduced by orthogonal projection, using the efficient nodal order reduction algorithm. The idea of macromodels implementation is demonstrated on a simple...

seen 1807 times