Prediction of Concrete Corrosion in Sulfuric Acid by SVM-Based Method

DOI

10.2991/emeit.2012.80How to use a DOI?

Keywords

support vector machine, concrete, sulfuric acid, corrosion model

Abstract

A long time immersion test of fly ash concrete specimens in sulfuric acid is carried out. On the basis of the experimental datum, a novel prediction model for sulfuric acid corrosion of concrete based on support vector machine (SVM) is proposed. The design steps and learning algorithm are also given. Five main influencing factors including the water and cement ratio, pH value of the soaking solution, cement and fly ash quantity, specimens fluidity are analyzed with the proposed model. By comparison with the measured results, the mean square error (MSE) of predicted result of the model is 0.188. It implies that this new method of computation appears to be a useful tool for sulfuric acid corrosion of fly ash concrete research.

Copyright

© 2012, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Weihang Zhang
AU  - Zhigang Song
PY  - 2012/09
DA  - 2012/09
TI  - Prediction of Concrete Corrosion in Sulfuric Acid by SVM-Based Method
BT  - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
PB  - Atlantis Press
SP  - 400
EP  - 404
SN  - 1951-6851
UR  - https://doi.org/10.2991/emeit.2012.80
DO  - 10.2991/emeit.2012.80
ID  - Zhang2012/09
ER  -