Complexity Reduction of Multiscale UTLM Cell Clusters

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

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.

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

• Journal Article Type: Article
• Acceptance Date: Jan 2, 2017
• Online Publication Date: Feb 17, 2017
• Publication Date: 2017
• Deposit Date: Mar 28, 2017
• Publicly Available Date: Jul 7, 2020
• Journal: IEEE Journal on Multiscale and Multiphysics Computational Techniques
• Electronic ISSN: 2379-8815
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 2
• Pages: 18-28
• DOI: https://doi.org/10.1109/jmmct.2017.2670613
• Keywords: Simulation, transmission line modeling, unstructured meshes
• Public URL: https://nottingham-repository.worktribe.com/output/845378
• Publisher URL: http://ieeexplore.ieee.org/document/7858700/
• 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.
• Contract Date: Mar 26, 2017