Akademik Veri Yönetim Sistemi
5th international conference on Advanced Engineering Optimization Through Intelligent Techniques, AEOTIT 2024, Surat, Hindistan, 28 - 30 Kasım 2024, cilt.1438 LNEE, ss.75-85, (Tam Metin Bildiri)
Developing technology makes designing safe, economical, and aesthetic structures possible. Steel space truss roof (SSTR) systems appear to be one of the most economical methods for covering large spans among existing roof systems. In addition to being used in structures with large openings like hangars, indoor swimming pools, and conference halls, SSTR systems are also frequently preferred in industrial structures like factories, workplaces, and manufacturing facilities. While carrying out this study, contributed to the goal of a sustainable world, it aimed to produce SSTR elements in ideal sizes with the least resource consumption while minimizing costs and damage to the environment. One of the main purposes is to design the sections of structures constructed with SSTR optimally. In this study, SSTR consisting of 1728 bar elements was selected as an example. The web members of the selected SSTR are categorized into three categories, diagonal, bottom and top chord. By assigning the same sizes to the elements of these groups, they were optimized with the Best–Worst–Random (BWR) and Best–Mean–Random (BMR) algorithms under certain loads. MATLAB computer code was developed to optimize SSTR with BMR and BWR algorithms. This code is compatible with the OAPI properties of SAP2000 and selected algorithms and enables repeated analysis. The changes in the cross sections and overall weight of the SSTR system were analyzed with BWR and BMR algorithms. Based on the analysis results obtained, the BMR algorithm gave more effective results than the BWR algorithm.