Abstract

A methodology is presented for the model order reduction of finite element approximations of passive electromagnetic structures characterized by statistical variability in material and geometry parameters. With such variability described in terms of an appropriate set of random variables, the proposed methodology offers a convenient and computationally-efficient framework for the development of a reduced order model using standard, deterministic model order reduction techniques. The generated stochastic reduced-order model lends itself to efficient quantitative assessment of the impact of statistical variability on the electromagnetic response of the component. Furthermore, the low order of the reduced model makes it suitable for use as a stochastic macromodel for the structure in the electromagnetic analysis of systems that include the structure under consideration as a component.

Original languageEnglish (US)
Title of host publicationSymposium Digest - 20th URSI International Symposium on Electromagnetic Theory, EMTS 2010
Pages688-691
Number of pages4
DOIs
StatePublished - 2010
Event20th URSI International Symposium on Electromagnetic Theory, EMTS 2010 - Berlin, Germany
Duration: Aug 16 2010Aug 19 2010

Publication series

NameSymposium Digest - 20th URSI International Symposium on Electromagnetic Theory, EMTS 2010

Other

Other20th URSI International Symposium on Electromagnetic Theory, EMTS 2010
CountryGermany
CityBerlin
Period8/16/108/19/10

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Sumant, P., Wu, H., Cangellaris, A., & Aluru, N. (2010). Order reduction of finite element models of passive electromagnetic structures with statistical variability. In Symposium Digest - 20th URSI International Symposium on Electromagnetic Theory, EMTS 2010 (pp. 688-691). [5637283] (Symposium Digest - 20th URSI International Symposium on Electromagnetic Theory, EMTS 2010). https://doi.org/10.1109/URSI-EMTS.2010.5637283