An Optimally Designed Cold-Formed Steel Beam Thickness Selection for Reducing Web-Crippling Smartly

Abstract

Web-crippling was a usual failure in cold-formed steel due to the thin gauge steel. The high rate of web-crippling is the result of this beam failure. Past studies have discussed the web crippling range based on different beam thicknesses. However, the optimization of web crippling is not studied. Considering this, the reduction of web crippling rate is studied in this research work with the use of vulture optimal features. Henceforth, the current study proposed a novel intelligent vulture decision model (IVDM) to determine the proper Z-section beam thickness, which has reduced the web-crippling rate. The Strength of the cold-formed steel Z-section beam was ascertained by examining the beam’s Strength under three distinct loading scenarios: point load, uniformly distributed load, and eccentric load. Additionally, the Z-section beam is designed on the ABAQUS platform, while the designed model is run in the MATLAB environment. Performing the various execution trails allowed for predicting the appropriate beam thickness range. As a result, the optimal beam thickness value for the Z-section beam is designed using the ABAQUS software. Ultimately, all other outcome parameters have shown that the suggested model has higher Strength and less Web-crippling compared to other models already in use. Here, the proposed IVDM has improved the web crippling rate by 4% than the compared existing approaches. It has been verified that the introduced model is highly suitable for web-crippling applications.