Volume 15, Issue 1 (1-2025)
IJOCE 2025, 15(1): 15-37 |
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Goodarzimehr V, Fanaie N, Talatahari S. GEOMETRIC AND SIZE OPTIMIZATION OF STRUCTURES UNDER NATURAL FREQUENCY CONSTRAINTS USING IMPROVED MATERIAL GENERATION ALGORITHM. IJOCE 2025; 15 (1) :15-37
URL: http://ijoce.iust.ac.ir/article-1-615-en.html
URL: http://ijoce.iust.ac.ir/article-1-615-en.html
1- Faculty of Civil Engineering and Architecture, Shahid Chamran University of Ahvaz, Ahvaz, Iran, Structural Engineering Engineering Optimization
2- Department of Civil Engineering, K. N. Toosi University of Technology, Tehran, Iran, Structural Engineering Engineering Optimization
3- School of Computing, Macquarie University, Sydney, Australia & Department of Computer Science, Khazar University, Baku, Azerbaijan, Structural Engineering Engineering Optimization
2- Department of Civil Engineering, K. N. Toosi University of Technology, Tehran, Iran, Structural Engineering Engineering Optimization
3- School of Computing, Macquarie University, Sydney, Australia & Department of Computer Science, Khazar University, Baku, Azerbaijan, Structural Engineering Engineering Optimization
Abstract: (1810 Views)
In this study, the Improved Material Generation Algorithm (IMGA) is proposed to optimize the shape and size of structures. The original Material Generation Algorithm (MGA) introduced an optimization model inspired by the high-level and fundamental characteristics of material chemistry, particularly the configuration of compounds and chemical reactions for generating new materials. MGA uses a Gaussian normal distribution to produce new combinations. To enhance MGA for adapting truss structures, a new technique called Random Chaotic (RC) is proposed. RC increases the speed of convergence and helps escape local optima. To validate the proposed method, several truss structures, including a 37-bar truss bridge, a 52-bar dome, a 72-bar truss, a 120-bar dome, and a 200-bar planar structure, are optimized under natural frequency constraints. Optimizing the shape and size of structures under natural frequency constraints is a significant challenge due to its complexity. Choosing the frequency as a constraint prevents resonance in the structure, which can lead to large deformations and structural failure. Reducing the vibration amplitude of the structure decreases tension and deflection. Consequently, the weight of the structure can be minimized while keeping the frequencies within the permissible range. To demonstrate the superiority of IMGA, its results are compared with those of other state-of-the-art metaheuristic methods. The results show that IMGA significantly improves both exploitation and exploration.
Keywords: Dynamic Constraint, Metaheuristic Algorithms, Truss Optimization, Soft Computing, Natural Frequency Constraints
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