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WEIGHT OPTIMIZATION OF PRE-ENGINEERED STEEL BUILDING BY GENETIC ALGORITHM

Typically, a pre-engineered building is a metal building that consists of light gauge metal standing seam roof panels on steel purlins spanning between rigid frames with light gauge metal wall cladding. It is a relatively flexible structure v/s a conventional steel framed building. In other words, it has a much greater vertical and horizontal deflection. During the last few years, several methods have been developed for the optimal design of steel structures. Most of the methods are calculus based nature and leads to unrealistic solutions and therefore, they are not used in practice, which still prefers to rely on the more traditional iterative methods. This paper describes the use of genetic algorithm (GA) in performing optimization of 2D truss structures to achieve minimum weight. The GA uses fixed length vector of the design variables which are the cross-sectional areas of the members. The objective considered here is minimizing the weight of the structure.