Al-Based Proposals for Optimizing Structural Design

Artificial intelligence (AI) is revolutionizing structural design by introducing advanced tools and methodologies. Al's capabilities begin with machine learning algorithms, which analyze extensive datasets to predict structural performance and mitigate potential issues, ensuring reliability and efficiency. Generative design complements this by generating innovative, resource-efficient solutions that adhere to predefined constraints, facilitating both sustainability and creativity. Another transformative AI technique is evolutionary computation, which leverages natural selection principles to refine and optimize designs systematically. This approach generates tailored solutions that align with project-specific requirements. Finally, practical case studies demonstrate the superior performance of AI-driven methodologies over traditional approaches, emphasizing improved efficiency, reduced resource usage, and enhanced innovation in structural design.

کلیدواژه ها:

Artificial Intelligence (AI) ، Generative Design ، Machine Learning (ML) ، Evolutionary Computation