Artificial Intelligence (AI) provides a wide range of applications in current society, including predicting, classifying, and solving both social and scientific problems. Civil engineering, as one of the oldest and most traditional engineering disciplines, covers various aspects of the built environment, from design and construction to maintenance. Civil engineering provides ample practical scope for applications of AI; in turn, AI can improve the quality of human life and originate novel approaches to solving engineering problems.

AI methods and techniques, including neural networks, evolutionary computation, fuzzy logic systems, and deep learning, have rapidly evolved over the recent decades. Recently, AI algorithms have attracted close attention from researchers and have also been applied successfully to solve problems in civil engineering, for example informing unmanned, intelligent, and fully automatic urban and regional planning, as well as developing new technologies civil engineering design, construction, maintenance, and disaster management.

This Special Issue aims to collate original articles about AI applied to civil engineering and will present important results of work based on fuzzy control, neural networks, evolutionary computation, and hybrid intelligent systems, as well as deep learning. The works can be applied research, development of new procedures or components, original application of existing knowledge, or new design approaches. Review articles describing the state of the art are also welcomed.

Potential topics include but are not limited to the following:

• AI for modelling of civil engineering
• Intelligent optimisation methods in civil engineering
• Intelligent civil engineering materials and structures
• AI-based structural health monitoring
• Intelligent structural design
• Intelligent construction
• Intelligent management and maintenance
• Intelligent disaster prevention