چكيده به لاتين
Real-world structural optimization problems, as one of the most challenging and complex issues in civil engineering, has engrossed a lot of attention from researchers in the past decades. Generally, these types of structures deal with the simultaneous optimization of multiple objectives which are normally conflicting with each other. Minimizing the weight and maximum displacements of all coordinate directions, and maximizing the reliability of the structure are among the most important ones in this field. On the other hand, element connectivity, shape, and size optimization can have a significant impact on weight minimization and, consequently, construction costs. Thus, various strategies have been proposed to face such problems.
In this thesis, it’s desired to review the principles of multi-objective optimization and common methods in this area. Then, due to the existence of inherent uncertainties in the properties of engineering systems, reliability analysis has been discussed. Afterward, in addition to utilizing a new and powerful meta-heuristic algorithm, for the first time, the design of the structure is based on several materials. Also, the connectivity optimization of truss, as a complex problem, has been investigated more efficiently with modern programming techniques. Furthermore, the reliability index is discussed as the second goal of the algorithm. As a result, it can be claimed that by consideration of all design parameters such as size, shape, connectivity, and material, along with stress and displacement constraints emphasized by regulations, the optimal design problem of truss is completely simulated. Therefore, obtaining results can be employed in construction projects. Finally, suggestions for future work have been presented in the last section.
