Master's degree in Civil Engineering from Kharazmi University of Tehran
Abstract
This research focuses on the importance of optimization in structural design. The use of optimization models helps to reduce design time and costs. In this research, optimization of a 20 cm square concrete beam with a thickness of 20 cm was carried out using ANSYS software and genetic algorithms. The main goal is to reduce construction costs by adjusting the cross-sectional dimensions and defining design constraints. After 100 generations of calculations, the optimal dimensions of the beam were obtained as 50 cm thick and 1.2 m long. The use of optimization algorithms in construction leads to the development of more efficient and economical structures. This research provides a more realistic model by considering the material type and cross-sectional area as design variables and addresses the integrity of the structure by considering ultimate limit states, serviceability limit states, and good construction practices. The results obtained show that the use of these methods also helps to improve the performance of the structure and reduce maintenance costs. In addition, the study can be generalized to the optimization of other structural components and can help to develop new techniques in structural engineering.
اسدیان, Ø. (2025). Using Genetic Algorithm in Mathematical Optimization of Concrete Beams Under Vertical Loads. Civil Engineering and new Technologies, 5(5), -.
MLA
امیرØسین اسدیان. "Using Genetic Algorithm in Mathematical Optimization of Concrete Beams Under Vertical Loads", Civil Engineering and new Technologies, 5, 5, 2025, -.
HARVARD
اسدیان, Ø. (2025). 'Using Genetic Algorithm in Mathematical Optimization of Concrete Beams Under Vertical Loads', Civil Engineering and new Technologies, 5(5), pp. -.
VANCOUVER
اسدیان, Ø. Using Genetic Algorithm in Mathematical Optimization of Concrete Beams Under Vertical Loads. Civil Engineering and new Technologies, 2025; 5(5): -.
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