Artificial intelligence in civil engineering

Abstract

Conventionally, civil engineering is the branch mainly related to the construction of buildings, bridges, highways, etc. Presently, the scope of civil engineering is widening, and several new subdomains are under progression. A large number of experimental works are required to estimate the properties and tasks related to construction. The analytical models are not sufficient to actually predict these different tasks related to civil engineering. The various benefits of reducing experimental work are that it reduces waste as well as saves time and cost. Artificial intelligence (AI) is a branch of computer science, and nowadays, in all areas of research, engineering, and industry, AI applications are becoming widespread. In both directions, glocal (global to local) and lobal (local to global), AI is affecting human lives. AI techniques provide an alternative to traditional methods for a wide range of complex civil engineering issues, particularly in the fields of concrete technology, structural health monitoring, geotechnical engineering, transportation engineering, construction management, architectural engineering, indoor environmental quality, space structures, irrigation, environmental engineering, and structural analysis. AI is successful in areas where physical testing is not possible, which ultimately minimizes the time, expenditure, and human effort required by traditional testing methods. The main advantage of using AI technology is its capacity to make quick decisions and remove mistakes while giving quick results. It is evident from recent technical developments and AI applications that disruption of conventional patterns is eventually pounding on the door of civil engineering projects. What can we do to get ready for the subsequent changes? More significantly, how will we capitalize on the enormous possibilities that will arise? In this chapter, the basic information about AI and the application of AI in the different dimensions of civil engineering and its future are summarized from an immersive research viewpoint.