Prediction model of sulfate resistance coefficient of concrete based on SVM
Sulfate attack will cause serious damage to concrete structure.At present,the sulfate resistance coefficient of concrete subjected to the specified number of dry-wet cycles is used to evaluate the sulfate resistance capacity of struc-tures.The experimental data and the literature data are taken as sample data.Considering water-binder ratio,fly ash re-placement ratio,slag powder replacement ratio,sand ratio,superplasticizer dosage,sulfate concentration and dry-wet cy-cles as input and sulfate resistance coefficient of concrete as output,the prediction model for sulfate resistance coeffi-cient of concrete is established through the support vector machine(SVM)method.Two kinds of sample sets are de-signed,and the prediction errors of SVM model are calculated respectively.Results show that SVM model can attain higher prediction accuracy with a small number of training samples,which is convenient for practical engineering appli-cation.
concretesulfate attacksupport vector machineprediction model
NETL
NSTL
万方数据
