• DocumentCode
    533473
  • Title

    Efficient block diagonal preconditioner for boundary element method in acoustics

  • Author

    Li, Shande ; Huang, Qibai

  • Author_Institution
    State Key Lab. of Digital Manuf. Equip. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2010
  • fDate
    27-30 Sept. 2010
  • Firstpage
    231
  • Lastpage
    236
  • Abstract
    An efficient preconditioner for iterative solution of the boundary integral equations for acoustic problems is presented. This method employs the improved Burton-Miller formulation overcome non-unique problems, and avoids the numerical difficulty of evaluating the hypersingular integral. The resulting matrix equation is solved iteratively with the generalized minimal residual method (GMRES) and an efficient block diagonal preconditioner is applied to accelerate the convergence. Numerical results demonstrate the accuracy and efficiency of the developed method for acoustic problems. The fast convergence properties indicate the developed method would be a promising application of the fast multipole boundary element method for large-scale acoustic problems.
  • Keywords
    Helmholtz equations; acoustic wave velocity; boundary integral equations; boundary-elements methods; iterative methods; matrix algebra; Burton-Miller formulation; Helmholtz equation; acoustic computation; block diagonal preconditioner; boundary integral equations; generalized minimal residual method; hypersingular integral; iterative solution; matrix equation; time-harmonic acoustic wave speed; Acoustics; Boundary element methods; Convergence; Equations; Integral equations; Sparse matrices; Symmetric matrices; Burton-Miller formulation; acoustics; block diagonal preconditioner; boundary element method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory (DIPED), 2010 Xvth International Seminar/Workshop on
  • Conference_Location
    Tbilisi
  • Print_ISBN
    978-1-4244-7790-6
  • Electronic_ISBN
    978-966-02-5654-5
  • Type

    conf

  • Filename
    5623940