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Perfectly matched layer absorbing boundary

Perfectly matched layer absorbing boundary

Abstract

Because computational storage space is finite, the finite-difference time-domain (FDTD) problem space size is finite and needs to be truncated by special boundary conditions. In the previous chapters we discussed some examples for which the problem space is terminated by perfect electric conductor (PEC) boundaries. However, many applications, such as scattering and radiation problems, require the boundaries simulated as open space. The types of special boundary conditions that simulate electromagnetic waves propagating continuously beyond the computational space are called absorbing boundary conditions (ABCs). However, the imperfect truncation of the problem space will create numerical reflections, which will corrupt the computational results in the problem space after certain amounts of simulation time. So far, several various types of ABCs have been developed. However, the perfectly matched layer (PML) introduced by Berenger [15, 16] has been proven to be one of the most robust ABCs [17-20] in comparison with other techniques adopted in the past. PML is a finite-thickness special medium surrounding the computational space based on fictitious constitutive parameters to create a wave-impedance matching condition, which is independent of the angles and frequencies of the wave incident on this boundary. The theory and implementation of the PML boundary condition are illustrated in this chapter.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Top 10%
Top 10%
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