Mechanical Performance Prediction of Cold Rolled Ribbed Steel Bars Based on RBF Network with Dividing Variable Space According to Original Materials’ Tensile Strength

Abstract:

This paper proposes a method of mechanical performance prediction of cold rolled ribbed steel bars based on RBF network with dividing variable space according to original materials’ tensile strength. It builds a sample variable space partitioning model according to the original materials’ tensile strength. It also studies the performance prediction of cold rolled ribbed steel bars based on the 4-in & 1-out RBF network and the performance prediction of cold rolled ribbed steel bars based on the 4-in & 2-out RBF network. The results show that this method can reliably predict the mechanical performance of cold rolled ribbed steel bars, and the predictive effect of the 4-in & 1-out RBF network model based on dividing variable space according to original materials’ tensile strength is superior to the 4-in & 2-out RBF network model.

• Periodical: Applied Mechanics and Materials (Volumes 633-634)
• Pages: 671-674
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.633-634.671
• Online since: September 2014
• Authors: Bang Sheng Xing, Le Xu
• Keywords: Cold Rolled Ribbed Steel Bars, Mechanical Performance, Radial Basis Function Network

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