Abstract
ABSTRACTThe Direct Strength Method (DSM) design rules for cold‐formed steel members in shear have been incorporated recently into the North American Specification for the Design of Cold‐Formed Steel Structural Members (AISI S100‐12) and are being implemented in the Australian Cold‐formed steel structures standard (AS/NZS 4600:2005). Recent studies have shown that the DSM can be used for beams with web openings subjected to shear by modifying the shear load at buckling (Vcr) and shear load at yielding (Vy) to include the influence of openings. This paper presents a buckling study on cold‐formed steel beams with various aspect ratios and with a wide range of web opening locations and sizes using the Finite Element Method (FEM) in order to determine Vcr. An artificial neural network (ANN) is then applied to learn and establish the relationship between the relative geometrical dimensions of perforated members and the shear buckling coefficients (kv). As a result, a simple equation is derived to approximate kv, which is used as input to the modified DSM design equations.
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