SUMMARYThe purpose of this work is to apply an inverse boundary element formulation in order to develop e cient algorithms for identiÿcation of polarization curves in a cathodic protection system. The problem is to minimize an objective function measuring the di erence between observed and BEM-predicted surface potentials. The numerical formulation is based on the application of genetic algorithms, which are robust search techniques emulating the natural process of evolution as a means of progressing towards an optimum solution.Examples of application are included in the paper for di erent types of polarization curves in ÿnite and inÿnite electrolytes. The accuracy and e ciency of the numerical results are veriÿed by comparison with standard conjugate gradient techniques. As a result of this research, the genetic algorithm approach is shown to be more robust, independent of the position of the sensors and of initial guesses, and will be further developed for three-dimensional applications.
SUMMARYCoating defects may occur, for many di erent reasons, at some points on the surface of a cathodically protected structure. These defects behave anodically and may cause strong localized corrosion. It is possible to identify the position of coating defects by using measured values of the electrochemical potential at some points in the electrolyte or on its surface. To achieve this, an inverse BEM-based genetic algorithm is developed to identify the position of defects in cathodically protected underground pipelines. The formulation is validated through its application to practical problems involving strongly non-linear polarization curves, inÿnite electrolytes, unknown number of defects and measurement noise.
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