Hostname: page-component-8448b6f56d-jr42d Total loading time: 0 Render date: 2024-04-18T19:54:08.783Z Has data issue: false hasContentIssue false

Reconstruction of Space Distribution of Characteristics in Compound Structures by General Ray Method

Published online by Cambridge University Press:  24 February 2014

Alexandre Grebennikov*
Affiliation:
Facultad de Ciencias Físicas-Matemáticas, BUAP, San Claudio s/n, Ciudad Universitaria, 72570, Puebla, México.
Get access

Abstract

Recognition of material structures, particularly, identification of electrical properties of materials by Electrical Tomography is very important in different applied problems. In a plane case Electrical Tomography can be mathematically described as a coefficient inverse problem for the Laplace type equation, written in the divergent form. The General Ray (GR) Principle, proposed by the author, reduces the Laplace type equation to the family of ordinary differential equations with respect the traces of the potential function and the permittivity function on the lines, which intersect the plane domain. General Ray Principle was realized as General Ray method and fast algorithm for the plane domains. In presented investigation we apply the plane scheme of GR-method for some space domains to identify distribution of structure characteristics inside it. For this we consider the space domain as assemblage of plane slices. Reconstructing desired distribution in each plane slice we obtain then the space internal distribution of electrical characteristics by 3D spline approximation. We consider here specific variant of the measurement scheme for the 3D Electrical Tomography (ET), based on the variant, proposed by the author for the plane domain. Proposed approach gives, in principle, the possibility to use a large number of electrodes, obtain more values of the input data and reconstruct the desired space structure more perfectly. Computer simulation of this 3D scheme is realized as MATLAB software and justified by numerical experiments on simulated examples.

Type
Articles
Copyright
Copyright © Materials Research Society 2014 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Williams, R. A. and Beck, M.S., Process Tomography: Principles, Techniques and Applications (Butterworth-Heinemann, Oxford, 1995).Google Scholar
Beck, M. S. and Brown, B.H., Measurement Science and Technology, 7, 215224 (1996).CrossRefGoogle Scholar
Grebennikov, A. and Gamio, Carlos, Inverse Problems in Science and Engineering, Vol. 14, No. 1, January, 6474 (2006).Google Scholar
Isakov, V., Inverse Problems for Partial differential Equations (Springer, New York, 1998).CrossRefGoogle Scholar
Tikhonov, A.N. and Arsenin, V. Ya., Methods for Solving Ill-Posed Problems. (V.H. Winston & Sons, Washington, D.C., 1977).Google Scholar
Morozov, V.A. and Grebennikov, A. I., Methods for Solution of Ill-Posed Problems: Algorithmic Aspects. (Moscow University Press, Moscow, 1992, English edition in 2005).Google Scholar
Grebennikov, A. I., A novel approach for solution of direct and inverse problems for some equations of mathematical physics. Proceedings of the 5- th International conference on Inverse Problems in Engineering: Theory and Practice, edited by Lesnic, D., Vol. II, chapter G04, (Leeds University Press, Leeds, UK, 2005), pp. 110.Google Scholar
Grebennikov, A. and Reyes, S.. J. Superficies y Vacío, 23(S), 172175 (2010).Google Scholar
Grebennikov, A. I., Spline Approximation Method and Its Applications (MAX Press, Russia, 2004).Google Scholar
Radon, J., Berichte Sachsische Academic der Wissenschaften, Math.-Phys. KI. N 69, 262267 (Leipzig, 1917).Google Scholar