Artificial Intelligence and Structural Engineering: A Paradigm Shift in Design, Analysis, and Sustainability

The advent of artificial intelligence (AI) has revolutionized various industries, and structural engineering is no exception. This paper explores the profound relationship between AI and structural engineering, emphasizing how AI has transformed design methodologies, enhanced predictive analysis, and contributed to sustainable development. By integrating machine learning algorithms, generative design, and optimization techniques, engineers can address complex challenges with unprecedented efficiency. This study examines cutting-edge applications, discusses potential implications, and envisions a future where AI drives the structural engineering domain toward innovative and sustainable solutions. The integration of artificial intelligence (AI) into structural engineering has ushered in a new era of innovation and efficiency. This paper delves deeply into the dynamic synergy between AI and structural engineering, highlighting the transformative impact AI has had on design processes, predictive modeling, and sustainability initiatives. Leveraging advanced machine learning algorithms, generative design tools, and sophisticated optimization methods, engineers are now equipped to tackle intricate problems with remarkable precision and speed. This research explores groundbreaking advancements, evaluates their broader implications, and anticipates a future where AI serves as a cornerstone for pioneering and eco-friendly solutions in structural engineering.

کلیدواژه ها:

Artificial Intelligence ، Structural Engineering ، Generative Design ، Predictive Maintenance ، Sustainability ، Structural Health Monitoring