Building The Future: Applications Of Artificial Intelligence In Civil Engineering

Abstract

Artificial intelligence (AI) gives classical civil engineering (CE) a new life and ways to innovate by giving it more complex mathematical frameworks and algorithms. The new AI methods can improve and update a lot of complicated, time-consuming and hard work in design, building and inspection. The physical machine learning can help solve many problems and find new laws in the field of CE by combining the data paradigm with physical principles.  On the other hand, artificial intelligence based solutions may often help civil engineers to solve problems more quickly and easily. This paper talks about new theories and methods that have been developed for using artificial intelligence in civil engineering. The smart science and technology in CE greatly improve the current levels of digitalization, informatization, automation and intellectualization. This paper gives a systematic review and summary of the most recent advancements in AI in civil engineering (CE) for the entire life cycle of civil structures and infrastructure. These advancements include intelligent architectural design, intelligent structural health diagnosis and intelligent disaster prevention and reduction. A number of examples are given for intelligent architectural art shape design, structural topology optimization, computer vision-based structural damage recognition, correlation-pattern-based structural condition assessment, machine-learning-enhanced reliability analysis, vision-based earthquake disaster evaluation, and dense displacement monitoring of structures under wind and earthquake. The discourse concludes with an examination of the potential of sentient science and technology in the context of future CE.