Application of Computational Intelligence of Artificial Neural Network to Predict Corrosion Rates of Steel Structure in Ocean water

摘要

Unpredictable corrosion failures in offshore and onshore steel structure in ocean water account for huge economic loss and lead to accidents. Prediction of corrosion rate of steel structure in seawater is a challenging task due to wide variation of its composition across the global marine environment. Computational intelligence of artificial neural network (ANN) has been applied using laboratory generated sets of experimental data to predict corrosion rate at any global marine environment. It is seen that ANN is an excellent computation tool to predict the life of marine submersed structures.