AI Applications in Structural Engineering: Innovations for Enhanced Safety and Durability of Infrastructure
Abstract
This paper explores the transformative role of artificial intelligence (AI) in revolutionizing structural engineering practices, with a focus on enhancing the safety and durability of infrastructure. Traditional approaches to structural design and analysis are often limited in their predictive capabilities and real-time monitoring. The integration of AI technologies, including machine learning, finite element analysis, and structural health monitoring, offers novel solutions for predictive modeling, pattern recognition, and early anomaly detection. Additionally, the document delves into AI-driven design optimization, material science advancements, and the application of robotics in construction, presenting case studies that showcase tangible improvements in safety and durability. Ethical considerations, potential biases, and future directions are also discussed, emphasizing the need for responsible AI implementation in the field of structural engineering. This comprehensive exploration aims to inspire further research and collaboration for the continued evolution of AI applications in creating robust and sustainable infrastructure.
How to Cite This Article
Sadat Itohan Ihwughwavwe, Rasheedah Fola Abioye, GLORIA Siwe USIAGU (2024). AI Applications in Structural Engineering: Innovations for Enhanced Safety and Durability of Infrastructure . International Journal of Future Engineering Innovations (IJFEI), 1(3), 50-58 . DOI: https://doi.org/10.54660/IJFEI.2024.1.3.50-58