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A Dual BEM Genetic Algorithm Scheme for the Identification of Polarization Curves of Buried Slender Structures

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LACTEC, Curitiba, PR, BRAZIL.

Computer Modeling in Engineering & Sciences 2006, 14(3), 153-160. https://doi.org/10.3970/cmes.2006.014.153

Abstract

A two-dimensional boundary element formulation is presented and coupled to a genetic algorithm to identify polarization curves of buried slender structures. The dual boundary element method is implemented to model the cathodic protection of the metallic body and the genetic algorithm is employed to deal with the inverse problem of determining the non-linear polarization curve, which describes the relation between current density and electrochemical potential at the soil metal interface. In this work, this non-linear relation resulting from anodic and cathodic reactions is represented by a classical seven parameters expression. Stratified soil resistivity is modeled with a piece-wise homogeneous domain. The inverse analysis is guided by potential measurements at the soil free surface. The identification method is analysed under different measurement conditions.

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APA Style
Lacerda, L.D., Silva, J.M.D. (2006). A dual BEM genetic algorithm scheme for the identification of polarization curves of buried slender structures. Computer Modeling in Engineering & Sciences, 14(3), 153-160. https://doi.org/10.3970/cmes.2006.014.153
Vancouver Style
Lacerda LD, Silva JMD. A dual BEM genetic algorithm scheme for the identification of polarization curves of buried slender structures. Comput Model Eng Sci. 2006;14(3):153-160 https://doi.org/10.3970/cmes.2006.014.153
IEEE Style
L.D. Lacerda and J.M.D. Silva, “A Dual BEM Genetic Algorithm Scheme for the Identification of Polarization Curves of Buried Slender Structures,” Comput. Model. Eng. Sci., vol. 14, no. 3, pp. 153-160, 2006. https://doi.org/10.3970/cmes.2006.014.153



cc Copyright © 2006 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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