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(Reference retrieved automatically from SciELO through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A specialized genetic algorithm for the electrical impedance tomography of two-phase flows

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Author(s):
Vanessa P. Rolnik [1] ; Paulo Seleghim Jr.
Total Authors: 2
Affiliation:
[1] University of Sao Paulo. Faculty of Philosophy, Sciences and Letters of Ribeirao Preto - Brasil
Total Affiliations: 2
Document type: Journal article
Source: Journal of the Brazilian Society of Mechanical Sciences and Engineering; v. 28, n. 4, p. 378-389, 2006-12-00.
Abstract

The main objective of this work is to contribute to the development of a new tomographic reconstruction method well suited for processing signals obtained from electrical or other soft sensing field probes. The adopted approach consists in formulating the reconstruction problem in terms of an error function, which assesses the difference between a prospective and the actual internal contrast distribution (3D image), and searching for its minimum with the help of a specialized genetic algorithm (GA). Numerical simulations have been performed to demonstrate the feasibility of the proposed reconstruction method, as well as to emphasize the relation between the ill-posed nature of the problem and the topology of the minimization hyper-surface, and the importance of considering this relation when designing the numerical solution procedure. Results show that convergence is greatly enhanced when a priori information is introduced in the error function. (AU)