scholarly journals Is model-order reduction viable for the broadband finite-element analysis of electrically large antenna arrays?

2015 ◽  
Vol 13 ◽  
pp. 31-39 ◽  
Author(s):  
O. Floch ◽  
A. Sommer ◽  
O. Farle ◽  
R. Dyczij-Edlinger

Abstract. Model-order reduction provides an efficient way of computing frequency sweeps for finite-element models, because the dimension of the reduced-order system depends on the complexity of the frequency response rather than the size of the original model. For electrically large domains, however, the applicability of such methods is unclear because the system response may be very complicated. This paper provides a numerical study of the effects of bandwidth, electrical size, and scan angle on the size and convergence of the ROM, by considering linear antenna arrays. A mathematical model is proposed and validated against numerical experiments.

2016 ◽  
Vol 52 (3) ◽  
pp. 1-4 ◽  
Author(s):  
Toshihito Shimotani ◽  
Yuki Sato ◽  
Takahiro Sato ◽  
Hajime Igarashi

2010 ◽  
Vol 40-41 ◽  
pp. 739-743
Author(s):  
Jian Shi ◽  
Ben Lian Xu

A second-order system model order reduction method for pre-stressed harmonic analysis of electrostatically actuated microbeams is demonstrated, which produces a low dimensional approximation of the original system and enables a substantial reduction of simulation time. The moment matching property for second-order dynamic systems is studied and the block Arnoldi algorithm is adopted for the generation of the Krylov subspace, which extracts the low order model from the discretized system assembled through finite element analysis. The difference between two successive reduced models suggests the choice of the order for the reduce model. A detailed comparison research among the full model and the reduced models is performed. The research results confirm the effectiveness of the presented method.


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