Memoirs of the Faculty of Engineering, Okayama University
Published by Faculty of Enginerring, Okayama University

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Memoirs of the School of Engineering, Okayama University

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Estimation of Ground Resisitivity Distribution Using 3D DRM Charge Simulation Modelling

Xu, Wei Dept. of Electrical and Electronic Engineering, Okayama University
Zhao, Y. Dept. of Electrical and Electronic Engineering, Okayama University
Horikane, T. Dept. of Electrical and Electronic Engineering, Okayama University
Hayata, T. Dept. of Electrical and Electronic Engineering, Okayama University
Tosuji, H. Dept. of Electrical and Electronic Engineering, Okayama University
Kagawa, Y. Dept. of Electronics and Information Systems, Akita Prefectural Univ.
抄録
Resistivity distribution sounding of the non-homogeneous earth is important for electrical ground system design, geophysical prospecting and survey or monitoring the groundwater flow level. The previous paper presented that the direct inversion of the electric resistivity distribution in a domain is possible from the impedance data measured over the domain boundary using the dual reciprocity boundary element modelling in two-dimentional field [1]. The proposed inversion technique is extended to the distribution in three-dimensional space [2]. This technique is capable of inversion without iteration and meshing of the domain. Electric field with spatially varying conductivity is governed by Laplace equation, which is transformed into a Poisson-type expression with an inhomogeneous term involving the conductivity difference as a source term. Dual reciprocity method (DRM) is a technique for transforming the domain integral associated with the inhomogeneous term in Poisson equation into the boundary integral expression. The resistivity distribution in the field can thus be identified from the data observed over its boundary, for which some examples are demonstrated [2]. In this paper, the examination is extended to the case where only the data measured over the single surface is used for the inversion.
ISSN
0475-0071
NCID
AA10699856
NAID