Structural Engineering Applications Using Artificial Intelligence and Machine Learning: A Review
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Keywords:
Civil Engineering, Structural Engineering, Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, AI, MLAbstract
Artificial Intelligence (AI) is revolutionizing civil engineering, particularly in the fields of
structural design and analysis. This review paper explores the application of AI methodologies, including
machine learning (ML) and deep learning (DL), in enhancing Civil Engineering practices. The study
highlights how AI can address complex challenges such as structural health monitoring, structural analysis,
design optimization and modelling of design. Through a systematic review of literature, empirical studies,
and practical predictive modeling, the paper emphasizes the potential of AI to improve decision-making
processes, optimize structural analysis and design predictions, and innovate traditional engineering
practices. It also discusses the interdisciplinary nature of AI, drawing on computer science, engineering,
and mathematics, while acknowledging challenges related to data quality, model accuracy, and
computational efficiency. The findings underscore the need for continued research and development to fully
harness AI's capabilities for the benefit of the civil engineering community and society at large.
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