APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN STRUCTURAL ENGINEERING: REVIEW

Abstract

The area of computer science known as artificial intelligence (AI) focuses on creating software and hardware with intelligence akin to that of humans. The most promising route to better practises in civil engineering turns out to be artificial intelligence. When testing is not feasible, artificial intelligence (AI) can be effectively applied as a game-changing tool in the field of structural engineering to establish engineering design parameters. AI will never be able to completely replace human involvement, not even in the near future, given its great range of flexibility. This is because AI will never be able to account for the logic that is unique to humans. Instead, its main purpose is to act as a touchstone for structural engineers, enabling them to increase their productivity. The sophisticated and profound learning algorithms seen in contemporary AI systems offer engineers well-defined platforms and merit investment. Massive computational resources are needed for the modelling and optimisation of complicated structural systems using traditional approaches; nevertheless, artificial intelligence-based technologies can frequently offer useful substitutes for effectively resolving civil engineering issues. This paper provides an overview of current ideas and practises that are being explored in the direction of artificial intelligence applications in civil engineering, such as fuzzy systems, neural networks, and evolutionary computation.

Key Words: structural engineering, artificial intelligence, machine learning, pattern recognition, deep learning, structural maintenance