Abstract
Design optimization of structures has evolved dynamically in the last few decades. The optimization techniques in general facilitate designers to select the best optimal design solution for the structure under consideration. An optimal solution normally implies the most economic structure without impairing the functional purposes the structure is supposed to serve. In this paper, the design optimization of steel members using Genetic Algorithm (GA) technique is presented. Two computer models have been generated for the analysis, design and design optimization of the steel members. The first model performs structural analysis and design using Application Programming Interface functionality in STAAD Pro i.e. OpenSTAAD®, and the second one undertakes design optimization of the same members to attain maximum utility ratio by using built-in GA tool box of MATLAB® software. A comparison between the actual utility ratio and the one obtained after optimizing the design was made. The GA based optimal and near-optimal solutions were found to be better, efficient and feasible compared to the results of traditional methods from both functional and practical point of view.
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Mujumdar, P., Matsagar, V. (2015). Design Optimization of Steel Members Using Openstaad and Genetic Algorithm. In: Matsagar, V. (eds) Advances in Structural Engineering. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2190-6_22
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DOI: https://doi.org/10.1007/978-81-322-2190-6_22
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