• DocumentCode
    75286
  • Title

    A Nonconformal FEM-DDM With Tree–Cotree Splitting and Improved Transmission Condition for Modeling Subsurface Detection Problems

  • Author

    Jin Ma ; Jian-Ming Jin ; Zaiping Nie

  • Author_Institution
    Dept. of Microwave Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • Volume
    52
  • Issue
    1
  • fYear
    2014
  • fDate
    Jan. 2014
  • Firstpage
    355
  • Lastpage
    364
  • Abstract
    Numerical modeling of electromagnetic subsurface detection is always challenging because the computational domain is large and the frequency is very low. This paper describes a nonconformal finite-element-method-based domain decomposition method (NC-FEM-DDM) for an efficient and accurate modeling of subsurface detecting problems in any frequency band. It first compares several transmission conditions (TCs) employed in DDM and identifies the most appropriate TC for subsurface applications. A tree-cotree splitting (TCS) strategy is then applied to hexahedral-based hierarchical basis functions to eliminate the low-frequency breakdown of NC-FEM-DDM at very low frequencies. Numerical results of a few testing problems show excellent convergence and accuracy obtained with an improved second-order TC in conjunction with the TCS at any frequencies even close to dc. Numerical results of a real-life application further demonstrate the efficiency and capability of this method for subsurface detection applications.
  • Keywords
    computational electromagnetics; finite element analysis; trees (mathematics); computational domain; electromagnetic subsurface detection; nonconformal FEM-DDM; nonconformal finite-element-method domain decomposition method; subsurface detection problems; transmission conditions; tree-cotree splitting; Accuracy; Computational modeling; Convergence; Eigenvalues and eigenfunctions; Electric breakdown; Equations; Vectors; Domain decomposition; second-order transmission condition (TC); subsurface detection; tree–cotree splitting (TCS);
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2013.2240306
  • Filename
    6472063