Optimum design of rigid and semi-rigid high-rise irregular steel structures with outriggers considering soil structure interaction

In this thesis study, the minimum weight optimization of high-rise steel frame structures is observed using outrigger and structure-soil interaction models for rigid and semi-rigid systems. The study employs metaheuristic algorithms to optimize of structures under various load combinations. The effectiveness of new algorithms, such as the Honey Badger Optimization (HBA) and Aquila Optimization (AO), is investigated and compared with the Grey Wolf Optimization (GWO) Algorithm, which has previously demonstrated successful results. These algorithms are coded in MATLAB and applied to the analysis of 17-story, 24-story, and 30-story irregular steel frame structures modeled in SAP2000 software. MATLAB and SAP2000 programs are integrated through the Open Application Programming Interface (OAPI). At each iteration, the cross-sections determined by the algorithms are transferred to SAP2000, analyses are conducted, and the structural weight is optimized. In the semi-rigid frame models, the flexibility of column-beam connections is considered to achieve more realistic results. The soil structure interaction is also integrated into the model, enabling the investigation of the contribution of soil effects to structural behavior. The proposed design algorithm is developed to select cross-sections for steel frame members in accordance with the LRFD-AISC (Load and Resistance Factor Design, American Institute of Steel Construction) specifications. Strength, displacement, and geometric constraints specified in the standard are incorporated into the algorithm as design limitations. This thesis highlights the effective use of metaheuristic algorithms in the optimization process of high-rise steel frames.