• DocumentCode
    2697252
  • Title

    Estimation of rough surface influence on the low-frequency electromagnetic response from the highly conductive object immersed in magnetic soil

  • Author

    Kakulia, D. ; Shubtidze, F.

  • Author_Institution
    Dept. of Exact & Natural Sci., Iv. Javakhishvili Tbilisi State Univ., Tbilisi, Georgia
  • fYear
    2010
  • fDate
    6-8 Sept. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper we present statistical researches, how influences the surfaces roughness of the magnetically susceptible soil on low-frequency magnetic response from the electrically highly-conducting underground object. Data, used for statistical investigation, are obtained by means of numerical simulation. Electromagnetic problem is solved using method of auxiliary sources for the electrically highly-conducting object placed in magnetically susceptible soil with rough surface. GEM3 sensor is modeled as excitant in the electromagnetic problem. Different models of rough surfaces with axial-symmetry are considered. Surfaces models are constructed based on piecewise defined by polynomials fifth order spline, which interpolates set of equidistant radial points with random heights. The probability density function of low-frequency magnetic response is built a priori based on results related to different cases of surface roughness.
  • Keywords
    electromagnetism; rough surfaces; soil; statistical distributions; GEM3 sensor; electrically highly-conducting underground object; electromagnetic problem; low-frequency electromagnetic response; magnetic soil; numerical simulation; polynomials fifth order spline; probability density function; rough surface influence estimation; statistical researches; Electromagnetics; Magnetic domains; Magnetic susceptibility; Rough surfaces; Soil; Sun; Surface roughness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mathematical Methods in Electromagnetic Theory (MMET), 2010 International Conference on
  • Conference_Location
    Kyiv
  • Print_ISBN
    978-1-4244-8859-9
  • Type

    conf

  • DOI
    10.1109/MMET.2010.5611384
  • Filename
    5611384