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Stochastic Collocation Applications in Computational Electromagnetics (CROSBI ID 251017)

Prilog u časopisu | pregledni rad (znanstveni) | međunarodna recenzija

Poljak, Dragan ; Šesnić, Silvestar ; Cvetković, Mario ; Šušnjara, Anna ; Dodig, Hrvoje ; Lallechere, Sebastien ; Drissi, Khalil El Khamlichi Stochastic Collocation Applications in Computational Electromagnetics // Mathematical problems in engineering, 2018 (2018), 1917439, 13. doi: 10.1155/2018/1917439

Podaci o odgovornosti

Poljak, Dragan ; Šesnić, Silvestar ; Cvetković, Mario ; Šušnjara, Anna ; Dodig, Hrvoje ; Lallechere, Sebastien ; Drissi, Khalil El Khamlichi

engleski

Stochastic Collocation Applications in Computational Electromagnetics

The paper reviews the application of deterministic-stochastic models in some areas of computational electromagnetics. Namely, in certain problems there is an uncertainty in the input data set as some properties of a system are partly or entirely unknown. Thus, a simple stochastic collocation (SC) method is used to determine relevant statistics about given responses. The SC approach also provides the assessment of related confidence intervals in the set of calculated numerical results. The expansion of statistical output in terms of mean and variance over a polynomial basis, via SC method, is shown to be robust and efficient approach providing a satisfactory convergence rate. This review paper provides certain computational examples from the previous work by the authors illustrating successful application of SC technique in the areas of ground penetrating radar (GPR), human exposure to electromagnetic fields, and buried lines and grounding systems.

Stochastic collocation ; Computational electromagnetics ; ground penetrating radar ; human exposure to electromagnetic fields ; buried lines ; grounding systems

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Podaci o izdanju

2018

2018.

1917439

13

objavljeno

1024-123X

1563-5147

10.1155/2018/1917439

Povezanost rada

Elektrotehnika, Interdisciplinarne tehničke znanosti

Poveznice
Indeksiranost