Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6365243 | Water Research | 2016 | 29 Pages |
Abstract
•Service life of corrosion impacted sewer depends on the initiation time and corrosion rate.•Artificial neural network was trained with 4.5 years of corrosion data obtained in lab.•Trained ANN model predicts reasonably the corrosion observed in real sewers.•ANN performs better than the multiple regression model in predicting sewer corrosion.•ANN model can be improved with more training data or the inclusion of more factors.
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