Optimization of continuous sacrificial protection based using intelligent programming technique

The most effective method to overcome corrosion problem is Cathodic Protection (CP) which represents a control method in the steel piling corrosion. In this work the response surface methodology (RSM) of Intelligent Programming Technique is used to model the Cathodic Protection System (CPS) to predict the potential protected by finding the optimum factor levels of protection potential in Umm-Qasr port which satisfy the maximum potential protected. The RSM suggested Box-Behnken (BB) Design matrix structure for protection potential is output dependent variable and four input independent variables (resistivity, sacrificial anode alloy, distance between anode and cathode and cathode surface area), this matrix structure is statistically chosen. The optimum design of experiment (DOE) for steel wall was to carry out 27 experiment runs. This design can be used to assess the effect of factors on protection potential for SCPS and its reliable. This design can be used to predict the potential protected with optimum factor levels. The results shown the values of predicted potential which is obtained by the current technique less than the ideal value which required to protect the steel pilling of the port.