An Evolutionary Polynomial Regression (EPR) Model For Prediction Of H2S Induced Corrosion In Concrete Sewer Pipes

Romanova, A, Faramarzi, A, Mahmoodian, M and Alani, A 2014, 'An Evolutionary Polynomial Regression (EPR) Model For Prediction Of H2S Induced Corrosion In Concrete Sewer Pipes', in Proceedings of the 11th International Conference on Hydroinformatics (HIC 2014), New York, United States, 17-21 August 2014, pp. 402-409.


Document type: Conference Paper
Collection: Conference Papers

Title An Evolutionary Polynomial Regression (EPR) Model For Prediction Of H2S Induced Corrosion In Concrete Sewer Pipes
Author(s) Romanova, A
Faramarzi, A
Mahmoodian, M
Alani, A
Year 2014
Conference name HIC 2014: Informatics and the Environment: Data and Model Integration in a Heterogeneous Hydro World
Conference location New York, United States
Conference dates 17-21 August 2014
Proceedings title Proceedings of the 11th International Conference on Hydroinformatics (HIC 2014)
Publisher City University of New York
Place of publication New York, United States
Start page 402
End page 409
Total pages 8
Abstract The sulphuric acid is a known growing threat to concrete sewer pipes. Acid production is dictated by rapid urbanisation, increased use of hot water and discharge of toxic metals and sulphate containing detergents into the wastewater. Concrete sewer pipe corrosion due to sulphuric attack is known to be the main contributory factor of pipe degradation. Very little tools are available to accurately predict the corrosion rate and most importantly the remaining safe life of the asset. This paper proposes a new robust model to predict the sewer pipe corrosion rate due to sulphuric acid. The model makes use of a powerful Evolutionary Polynomial Regression method that provides a new methodology of hybrid data-mining. The results obtained by the model which was validated in the field indicates that the proposed hybrid methodology can accurately predict the corrosion rate in concrete sewer pipe's given that the pipe installation conditions as well as in-pipe sewage conditions are known.
Subjects Infrastructure Engineering and Asset Management
Keyword(s) EPR
corrosion
sewer pipes
sulphuric acid
Copyright notice Copyright © (2014) by International Conference on Hydroinformatics 2014
ISBN 9781510800397
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