• DocumentCode
    1555649
  • Title

    Accurate and efficient simulation of antennas using hierarchical mixed-order tangential vector finite elements for tetrahedra

  • Author

    Andersen, Lars S. ; Volakis, John L.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
  • Volume
    47
  • Issue
    8
  • fYear
    1999
  • fDate
    8/1/1999 12:00:00 AM
  • Firstpage
    1240
  • Lastpage
    1243
  • Abstract
    Hierarchical mixed-order tangential vector finite elements (TVFEs) for tetrahedral elements are attractive for accurate and efficient finite-element method simulation of complicated electromagnetic problems. They provide versatility in the geometric modeling of physical structures, guarantee solutions free of spurious modes, and allow local increase of resolution by selective expansion of the unknown electromagnetic field, i.e., by combination of mixed-order TVFEs of different orders within a computational domain. For a realistic antenna radiation problem, this paper demonstrates that field expansion using lowest and higher order hierarchical mixed-order TVFEs selectively is vastly superior [in terms of accuracy, memory, as well as central processing unit (CPU)-time] to field expansion using a lowest order mixed-order TVFE only
  • Keywords
    antenna theory; finite element analysis; microstrip antennas; noise; simulation; TVFE; complicated electromagnetic problems; computational domain; expansion; geometric modeling; hierarchical mixed-order tangential vector finite elements; realistic antenna radiation problem; resolution; simulation; spurious modes; tetrahedra; unknown electromagnetic field; Central Processing Unit; Computational modeling; Electromagnetic fields; Electromagnetic modeling; Electromagnetic radiation; Finite element methods; Helium; Physics computing; Solid modeling; Vectors;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/8.791938
  • Filename
    791938