## Abstract A methodology is presented for the Krylov subspace‐based model order reduction of finite element models of electromagnetic structures with material properties and impedance boundary conditions exhibiting arbitrary frequency dependence. The proposed methodology is a generalization of an
Finite element-based model order reduction of electromagnetic devices
✍ Scribed by Y. Zhu; A. C. Cangellaris
- Publisher
- John Wiley and Sons
- Year
- 2002
- Tongue
- English
- Weight
- 254 KB
- Volume
- 15
- Category
- Article
- ISSN
- 0894-3370
- DOI
- 10.1002/jnm.432
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
In this paper an efficient algorithm is presented for the development of compact and passive macro‐models of electromagnetic devices through the systematic reduction of the order of discrete models for these devices obtained through the use of finite elements. The proposed methodology is founded on a new finite element formulation that casts Maxwell's curl equations in a state‐space form. Such state‐space representations are very compatible with a class of robust model order reduction techniques based on Krylov subspaces. However, the advantage of this compatibility appears to be hindered by the fact that the state matrix of the discretized Maxwellian system is of dimension almost twice that obtained from the finite element approximation of the electromagnetic vector wave equation. It is shown in this paper that the apparent penalty in both memory and computation efficiency can be avoided by a proper selection of the finite element expansion functions used for the discretization of the electromagnetic fields. More specifically, it is shown that the proper selection of expansion functions renders the state‐space form of the Maxwellian system equivalent to the discrete problem obtained from the approximation of the vector wave equation using tangentially continuous vector finite elements. This equivalence is then used to effect Krylov‐based model order reduction directly from the finite element approximation of the vector wave equation. In particular, a passive model order reduction algorithm is used for this purpose. The proposed reduced order macro‐modelling algorithm is demonstrated through its application to a variety of microwave passive components. Copyright © 2002 John Wiley & Sons, Ltd.
📜 SIMILAR VOLUMES
Model order reduction of an electromagnetic system is understood as the approximation of a continuous or discrete model of the system by one of substantially lower order, yet capable of capturing the electromagnetic behaviour of the original one with su$cient engineering accuracy. Model order reduct
This paper examines a method of adding viscoelastic properties to finite element models by using additional co-ordinates to account for the frequency dependence usually associated with such damping materials. Several such methods exist and all suffer from an increase in order of the final finite mod
## Abstract A computationally efficient methodology is presented for the finite element modeling of thin conducting wires of diameter comparable with or smaller than the numerical grid size. The proposed model relies upon the insertion of lumped circuit elements at element edges along the wire axis
## Abstract A hierarchical __LU__(**H**‐__LU__) decomposition‐based direct method enhanced second‐order Krylov subspace projection‐based model order reduction (MOR) is presented. The construction of the projection matrix is the most important process in the Krylov subspace projection‐based MOR, whe