Optimization of Brace Connections in Light Weight Steel Frame (LSF) by Neural Network

فاقد چكيده فارسي

In recent years, light weight steel framing system has been proposed as an economic system and earthquake-resistant. Tendency of the mass constructors to this system is due to being full industrial process. One of the resistant systems against lateral load in cold-formed steel structure is applying of braces which optimization and connections improvement for these braces have been considered by experts of this field research. In this paper, different experimental studies and normalization and simulation by ANN were used. The results of this research have been applied for create a nonlinear relationship. First all of data such as input, target must be normalized and then simulating and training by neural network should be done. In this research, two layers have been used. One of these layers is sigmoid layer. Results show that optimal connections in light weight steel framing system have suitable plasticity, load capacity and nonlinear relation. Statistical analysis results on SPSS software show that there is no significant different between neural network and experimental results (P-Value > 0.05).