The Buckling Analysis of Axially Loaded Columns with Artificial Neural Networks

Computation on Civil Engineering has concentrated primarily on artificial intelligence applications in the past few years. These applications generally involve expert systems. This article deals Neural Networks and applications were presented. Axially loaded columns are designed according to the their buckling load capacity. In this study, a multi-layer artificial neural network is trained to give critical load for axially loaded columns and various support conditions. Backpropagation training algorithms are used considering the circular, square, rectangular, and I cross-sections. The artificial neural network, with is trained for circular , rectangular ,square and I sections for four support conditions, is tested for the four support conditions. The results found using trained neural networks are sufficiently close to the theoretical solution. It is emphasized that logical programming has application potential in this area.