Multi-objective optimization of cold-formed steel beam cross-sections and statistical assessment of fabrication errors
摘要
This study aims to improve the flexural behavior of cold-formed steel (CFS) beams by simultaneously maximizing moment capacity and ultimate chord rotation, thereby improving ductility and energy dissipation. A multi-objective optimization framework, combining ABAQUS for finite element (FE) simulations and MATLAB for optimization, is developed to improve the performance of one new and three commonly studied cross-section prototypes under monotonic loading. Before performing the optimization, the FE model is thoroughly validated using existing numerical and experimental results. All cross-sections on the Pareto-optimal fronts are compared to demonstrate the efficacy of the proposed optimization framework in improving the flexural behavior of CFS beams. Using the Direct Strength Method, it is also shown that the salient cross-sections obtained through the optimization can provide the inelastic reserve strength. Effects of cyclic loading and fabrication errors are also investigated. The results show that the optimized cross-section of the proposed prototype provides superior performance under monotonic and cyclic loads up to 4% chord rotation, making it promising for seismic-resistant moment frames.