چكيده به لاتين
Safety and economy are the primary concerns during the design of any civil engineering structure, because the designer, the owner, and the public prefer a structure that is safe and cheap. The goal of reliability-based design optimization (RBDO) is to identify a good balance between the safety and economy of a structure in the design process. Although theoretically appealing, the optimization of practical structures has several computational and modeling challenges. The reliability-based design optimization problem domain is complex, which requires the application of robust search and optimization techniques to arrive at a near-global optimal solution.
The proposed hybrid method in this thesis, a metaheuristic algorithm, called "Soccer League Competition (SLC)", has been implemented for the optimization part and a First Order Reliability Method (FORM) has been used for the reliability analysis part. Furthermore, for analysis of two-dimensional and three-dimensional truss structures, the minimization Supplemental potential energy approach has been used. The simultaneous application of SLC and FORM has important advantages, including achieving accurate optimal solutions with high computational efficiency without any dependency on different initial population.
This method also has the ability to solve RBDO issues with discrete and continuous design variables. Integration of both optimization and reliability-analysis codes in the MATLAB software environment made the process free from calling another external analysis programs, and the application of the minimization supplemental potential energy-based algorithm for structural analysis improved the convergence speed and reduced computational costs.
Examples provided in this thesis have also proved the accuracy and efficiency of the proposed method in comparison with other considered methods.
Keywords: reliability-based design optimization, reliability, optimization, Structural analysis
