会议专题

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

  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.

support vector machine concrete sulfuric acid corrosion model

Weihang Zhang Zhigang Song

Faculty of Civil Engineering,Kunming University of Science and Technology,Kunming,P.R.China,650500

国际会议

the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT-2012)(2012年电机工程与信息技术国际会议)

沈阳

英文

400-404

2012-09-26(万方平台首次上网日期,不代表论文的发表时间)