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
Link To Document