Memorias de investigación
Ponencias en congresos:
Data-driven model order reduction via Loewner approach for fast frequency sweep in hybrid BI-FEM solution in large finite frequency selective surfaces
Año:2017
Áreas de investigación
  • Física química y matemáticas
Datos
Descripción
A data-driven model order reduction technique for fast frequency sweep in computationally intensive full-wave solution in large finite frequency selective surfaces is detailed. A hybrid Boundary Integral-Finite Element Domain Decomposition Method is addressed to accurately predict the electromagnetic behavior of these structures. A reduced-order model is built up by means of output data provided by the electromagnetic solver, which is used as a black box as regards the model order reduction process. A Loewner matrix approach is taken into account to provide a tangential interpolation to S parameter output data. As a result, a dynamical system representation fitting the simulation data is obtained, and further electromagnetic insight can be earned from this system representation.
Internacional
Si
Nombre congreso
2017 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave, and Terahertz Applications (NEMO)
Tipo de participación
960
Lugar del congreso
Sevilla, España
Revisores
Si
ISBN o ISSN
9781509048380
DOI
10.1109/NEMO.2017.7964262
Fecha inicio congreso
17/05/2017
Fecha fin congreso
19/05/2017
Desde la página
287
Hasta la página
289
Título de las actas
2017 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave, and Terahertz Applications (NEMO)
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Simulación Numérica en Ciencias e Ingeniería
  • Departamento: Matemática Aplicada a Las Tecnologías de la Información y Las Comunicaciones