From Microscopic to Macroscopic Description of Composite Thin Panels: A Roadmap for their Simulation in Time Domain
| Autor: | Amelia Rubio Bretones, Jesus Alvarez, Miguel Ruiz Cabello, Salvador García, Luis D. Angulo |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Radiation
Computer science 020209 energy Composite number Finite difference method Finite-difference time-domain method Experimental data Subcell models Thin-layer modeling 020206 networking & telecommunications 02 engineering and technology Condensed Matter Physics Implicit–explicit schemes Electromagnetic shielding 0202 electrical engineering electronic engineering information engineering Scattering parameters Finite difference time domain Time domain Electrical and Electronic Engineering Dispersion (water waves) Algorithm |
| Zdroj: | Digibug. Repositorio Institucional de la Universidad de Granada instname |
| Popis: | In this paper, we show a simulation strategy for composite dispersive thin-panels, starting from their microscopic characteristics and ending into a time-domain macroscopic model. In a first part, we revisit different semianalytic methods that may be used to obtain the S-parameter matrices. The validity of them is assessed with numerical simulations and experimental data. We also include some formulas that may be used to tailor the shielding effectiveness of panels in a design phase. In a second part, we present an extension to dispersive media of a subgridding hybrid implicit–explicit algorithm finite difference time domain (FDTD) devised by the authors to deal with that kind of materials. The method, here presented and applied to the FDTD method, is a robustly stable alternative to classical impedance boundary condition techniques. For this, a previous analytical procedure allowing to extract an equivalent effective media from S-parameters is presented, thus making this road map able to simulate any kind of dispersive thin layer. A numerical validation of the algorithm is finally shown by comparing with experimental data. This work was supported in part by Spanish MINECO, EU FEDER under Project TEC2013-48414-C3-01, Project TEC2016-79214- C3-3-R, and Project TEC2015-68766-REDC, in part by J. de Andalucia, Spain under Grant P12-TIC-1442, in part by Alhambra-UGRFDTD (AIRBUS DS), and in part by the CSIRC alhambra.ugr.es supercomputing center. This paper is an expanded version from the IEEE MTT-S International Conference on Numerical Electromagnetic Modeling and Optimization for RF, Microwave, and Terahertz Applications, May 17–19, 2017, Seville, Spain. |
| Databáze: | OpenAIRE |
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