2026-10-30T01:51:57Zhttps://bayburt-rdlopen.rawdatalibrary.net/oai/requestoai:bayburt-rdlopen.rawdatalibrary.net:bayburt/122112026-10-29T19:36:27Zopenairecom_bayburt_10000col_bayburt_10001com_bayburt_10007col_bayburt_10223Optimum design of braced steel frames via teaching learning based optimizationArtar, MusaMATLABSAP2000 OAPIOptimum designPlanar steel framesTeaching-learning based optimizationIn this study, optimum structural designs of braced (non-swaying) planar steel frames are investigated by using one of the recent meta-heuristic search techniques, teaching-learning based optimization. Optimum design problems are performed according to American Institute of Steel Construction-Allowable Stress Design (AISCASD) specifications. A computer program is developed in MATLAB interacting with SAP2000 OAPI (Open Application Programming Interface) to conduct optimization procedures. Optimum cross sections are selected from a specified list of 128W profiles taken from AISC. Two different braced planar frames taken from literature are carried out for stress, geometric size, displacement and inter-storey drift constraints. It is concluded that teaching-learning based optimization presents robust and applicable optimum solutions in multi-element structural problems.Techno Press2016Articlehttps://rdlopen.rawdatalibrary.net/r/bayburt/12211https://doi.org/10.12989/scs.2016.22.4.7331229-9367enSteel and Composite Structuresinfo:eu-repo/semantics/closedAccessinfo:eu-repo/semantics/articlehttps://bayburt-rdlopen.rawdatalibrary.net/tr/items/bayburt/12211