Ali Dadrasi - Technical Engineering Faculty of Islamic Azad University, Shahrood Branch
Abdolreza Alavi Gharebagh - Computer and Electrical Engineering Faculty of Islamic Azad University, Shahrood Branch
Sasan Fooladpanjeh - Master’s students in Islamic Azad University, Shahrood Branch

In this paper, the energy absorption performance of Vertical circular cone Exposed to Dynamic axial load is studied. The cone with different numeral ratio and difficult ratio of length to thickness were tested. Moreover, these two parameters have been considered as the input parameters for the purpose of modeling the results through the Response Surface Method, Regression Tree Method and Neural Method. The experimental results show that maximum value of energy absorption is accepted in top-constrained and after that in top constrained. Also the modeling results show that the neural network method makes the best predictions. Additionally, the best value for energy absorption is 0.8809 J/g when the angle is 21 and the ratio of length to thickness is 150 mm. also this method shows that the best value for energy absorption is equal to 0.9247 J/g where the angle is 19 and the ratio of length to thickness is 272 mm.Also, compare the result obtained from Response Surface Method, Regression tree and Neural Network method show that still the results obtained from Neural Network method is much more suitable from two others method.

Energy absorption-Response Surface Method-Neural Network -Regression Tree-Plastic collapse