Abstract

Using the computational neural network model developed recently by the writers, a comprehensive parametric study is performed for global optimization of cold-formed steel I-shape beams based on the American Iron and Steel Institute specification. Design curves are presented for global optimum values of the thickness, the web depth-to-thickness ratio, and the flange width-to-thickness ratio.

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