• DocumentCode
    535222
  • Title

    Quadrature method and extrapolation for solving a class of elastic boundary value problems

  • Author

    Cheng, Pan ; Huang, Jin ; Zeng, Guang

  • Author_Institution
    Coll. of Math. Sci., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • Volume
    7
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    3372
  • Lastpage
    3376
  • Abstract
    Elastic boundary value problems of the third kind are converted into boundary integral equations (BIE) with the logarithmic singularity and the Hilbert singularity. In this paper, quadrature methods are presented to deal with the logarithmic singularity and the Hilbert singularity simultaneously for solving the BIE, which possesses the high accuracies O(h3) and low computing complexities O(h-1), where h is the mesh width. The convergence and stability are proved based on Anselone´s collective compact theory. Furthermore, the asymptotic expansions with the odd powers of the errors are presented. Using Richardson extrapolation, we can not only greatly improve the accuracy order of approximation O(h5), but also derive an a posteriori error estimate as a self-adaptive algorithm. The efficiency of the algorithm is illustrated by examples.
  • Keywords
    Hilbert spaces; boundary integral equations; boundary-value problems; convergence of numerical methods; extrapolation; integration; Anselone collective compact theory; BIE; Hilbert singularity; Richardson extrapolation; a posteriori error estimate; asymptotic expansions; boundary integral equations; convergence; elastic boundary value problems; logarithmic singularity; quadrature method; self-adaptive algorithm; Accuracy; Convergence; Equations; Extrapolation; Integral equations; Mathematical model; Richardson extrapolation; asymptotic expansion; elasticity; quadrature method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2010 3rd International Congress on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6513-2
  • Type

    conf

  • DOI
    10.1109/CISP.2010.5647356
  • Filename
    5647356