Applications of Artificial Intelligence in Structural Engineering

AI has the potential to revolutionize the way we design, build, and maintain our built environment. The paper provides an overview of various AI branches, including deep learning, neural networks, swarm optimization, fuzzy logic, machine learning, pattern recognition, probability theory, and metaheuristic optimization. It highlights the applications of AI in structural engineering, such as structural health monitoring, modular construction decision making, and vibration control. The paper also examines the limitations, challenges, and opportunities associated with the adoption of AI in the industry. The paper concludes that AI has enormous potential to enhance the efficiency, safety, and sustainability of structural engineering, and that further research and collaboration between academia and industry are necessary to fully realize the benefits of this technology.