K. Alkama, G. Meunier, O. Chadebec, J. Guichon, B. Bannwarth, E. Vialardi, R. Perrin-Bit
{"title":"Computational Strategies Improvement For The Unstructured Inductive PEEC Method","authors":"K. Alkama, G. Meunier, O. Chadebec, J. Guichon, B. Bannwarth, E. Vialardi, R. Perrin-Bit","doi":"10.1109/CEFC46938.2020.9451292","DOIUrl":null,"url":null,"abstract":"Computational strategies improvements for the inductive unstructured PEEC method are presented in order to address efficiently low frequencies electromagnetic problems. Couplings between volume, surface and line regions have been developed to reduce the number of degrees of freedom and thus the computational cost. Good accuracy on results is ensured thanks to the use of an adaptive Gauss integration procedure for the computation of near interactions. Multi-threaded AMLFMM matrix compression algorithm is used to speed-up far interactions computation. External circuit components can also be coupled to the meshed conductive regions.","PeriodicalId":439411,"journal":{"name":"2020 IEEE 19th Biennial Conference on Electromagnetic Field Computation (CEFC)","volume":"338 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 19th Biennial Conference on Electromagnetic Field Computation (CEFC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEFC46938.2020.9451292","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Computational strategies improvements for the inductive unstructured PEEC method are presented in order to address efficiently low frequencies electromagnetic problems. Couplings between volume, surface and line regions have been developed to reduce the number of degrees of freedom and thus the computational cost. Good accuracy on results is ensured thanks to the use of an adaptive Gauss integration procedure for the computation of near interactions. Multi-threaded AMLFMM matrix compression algorithm is used to speed-up far interactions computation. External circuit components can also be coupled to the meshed conductive regions.