Application of Artificial Intelligence in Optimizing the Geometry of Suspended Structures: A Novel Approach to Complex Structural Design

With the increasing complexity of modern structural forms and functions, the need for advanced methods of design and optimization has become inevitable. Suspended structures, as one of the most sophisticated structural types, demand intelligent tools to optimize their geometry and performance due to their dynamic behavior and multi-parameter design interactions. This paper explores the application of artificial intelligence in optimizing the geometry of such structures by presenting models based on genetic algorithms, artificial neural networks, and hybrid approaches. The results show that these methods not only enhance design accuracy but also lead to reduced structural weight, improved stability, and lower material consumption. A comparison with traditional design methods further confirms the superiority of AI-based approaches. This research may open a new pathway for the design of innovative structures utilizing cutting-edge technologies.

کلیدواژه ها:

Artificial Intelligence (AI) ، Suspended Structures ، Genetic Algorithms ، Neural Networks ، Structural Optimization