Prediction of peak pressure in the explosion-vented vessel with a venting duct based on support vector machine

To predict the peak pressure in the explosion-vented vessel with a venting duct, the influencing factors on the peak pressure were abstracted from the experimental data in literatures. The abstracted factors were deployed as the inputs to the support vector machine (SVM), and the corresponding peak pressures were used as the outputs. Thereby, the SVM model was developed. The validity of the SVM model was checked by comparing the predictive capacities between the SVM model and the empirical formula. The results show that the SVM model has a better predictive capacity than the empirical formula.