• DocumentCode
    1965369
  • Title

    Performance of Low-Rank QR Approximation of the Finite Element Biot-Savart Law

  • Author

    White, Daniel A. ; Fasenfest, Benjamin J.

  • Author_Institution
    Lawrence Livermore Nat. Lab., CA
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    352
  • Lastpage
    352
  • Abstract
    We are concerned with the computation of magnetic fields from known electric currents in the finite element setting. In finite element eddy current simulations it is necessary to prescribe the magnetic field (or potential, depending upon the formulation) on the conductor boundary. In situations where the magnetic field is due to a distributed current density, the Biot-Savart law can be used, eliminating the need to mesh the non-conducting regions. Computation of the Biot-Savart law can be significantly accelerated using a low-rank QR approximation. We review the low-rank QR method and report performance on selected problems
  • Keywords
    eddy currents; electromagnetism; finite element analysis; magnetic fields; conductor boundary; distributed current density; finite element Biot-Savart law; finite element eddy current simulations; magnetic field computations; nonconducting regions; Boundary conditions; Computational modeling; Conductors; Eddy currents; Electrostatics; Finite element methods; Magnetic fields; Matrix decomposition; Partitioning algorithms; Sparse matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetic Field Computation, 2006 12th Biennial IEEE Conference on
  • Conference_Location
    Miami, FL
  • Print_ISBN
    1-4244-0320-0
  • Type

    conf

  • DOI
    10.1109/CEFC-06.2006.1633142
  • Filename
    1633142