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Inverse surrogate modeling for low-cost geometry scaling of microwave and antenna structures

Abstract

Purpose–The purpose of this paper is to investigate strategies for expedited dimension scaling ofelectromagnetic (EM)-simulated microwave and antenna structures, exploiting the concept of variable-fidelity inverse surrogate modeling.Design/methodology/approach–A fast inverse surrogate modeling technique is described fordimension scaling of microwave and antenna structures. The model is established using referencedesigns obtained for cheap underlying low-fidelity model and corrected to allow structure scaling athigh accuracy level. Numerical and experimental case studies are provided demonstrating feasibility ofthe proposed approach.Findings–It is possible, by appropriate combination of surrogate modeling techniques, to establishan inverse model for explicit determination of geometry dimensions of the structure at hand so as tore-design it for various operating frequencies. The scaling process can be concluded at a lowcomputational cost corresponding to just a few evaluations of the high-fidelity computational model ofthe structure.Research limitations/implications–The present study is a step toward development ofprocedures for rapid dimension scaling of microwave and antenna structures at high-fidelityEM-simulation accuracy.Originality/value–The proposed modeling framework proved useful for fast geometry scaling ofmicrowave and antenna structures, which is very laborious when using conventional methods. To theauthors’knowledge, this is one of the first attempts to surrogate-assisted dimension scaling ofmicrowave components at the EM-simulation level.

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Category:
Articles
Type:
artykuł w czasopiśmie wyróżnionym w JCR
Published in:
ENGINEERING COMPUTATIONS no. 33, edition 4, pages 1095 - 1116,
ISSN: 0264-4401
Language:
English
Publication year:
2016
Bibliographic description:
Kozieł S., Bekasiewicz A.: Inverse surrogate modeling for low-cost geometry scaling of microwave and antenna structures// ENGINEERING COMPUTATIONS. -Vol. 33, iss. 4 (2016), s.1095-1116
DOI:
Digital Object Identifier (open in new tab) 10.1108/ec-07-2015-0192
Verified by:
Gdańsk University of Technology

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