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Complexity Reduction of Multiscale UTLM Cell Clusters

Sewell, Phillip; Benson, Trevor M.; Vukovic, Ana; Meng, Xuesong

Authors

Phillip Sewell phillip.sewell@nottingham.ac.uk

Trevor M. Benson trevor.benson@nottingham.ac.uk

Ana Vukovic ana.vukovic@nottingham.acuk

Xuesong Meng



Abstract

Time domain electromagnetic simulations employing unstructured tetrahedral meshes offer smooth boundary approximations and graded meshes for multiscale problems. However, multiscale effects may arise not only as a consequence of fine geometry, but also from CAD and mesh generation artifacts and it is critical that the simulation algorithms can be employed in their presence without unduly compromising their computational performance. The ability of the Unstructured Transmission Line Modeling (UTLM) algorithm to coalesce small computational cells into larger entities is a key enabler for the approach. This paper demonstrates the use of complexity reduction techniques to both notably reduce the preprocessing time required for this and as a consequence, substantially extend its capability.

Journal Article Type Article
Publication Date 2017
Journal IEEE Journal on Multiscale and Multiphysics Computational Techniques
Electronic ISSN 2379-8793
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 2
Pages 18-28
APA6 Citation Sewell, P., Benson, T. M., Vukovic, A., & Meng, X. (2017). Complexity Reduction of Multiscale UTLM Cell Clusters. IEEE Journal on Multiscale and Multiphysics Computational Techniques, 2, 18-28. https://doi.org/10.1109/jmmct.2017.2670613
DOI https://doi.org/10.1109/jmmct.2017.2670613
Keywords Simulation, transmission line modeling, unstructured meshes
Publisher URL http://ieeexplore.ieee.org/document/7858700/
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
Additional Information (c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
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