An Approach-Driven: Use of Artificial Intelligence and Its Applications in Civil Engineering

Abstract

Artificial intelligence (AI) has been used widely in all sectors of education, science, engineering, and industries. AI is an alternative approach to the classical Modeling Technique (MT). AI technique is developed by the department of computer science which works on the theory of human brain ability. As compared to traditional methods, the AI approach provides a solution to many complex civil engineering problems, especially, in the area of concrete technology, structural health monitoring, geotechnical engineering, transportation engineering, and structural analysis. In addition to this, AI approach also works on those areas where physical testing is not possible, which ultimately reduces human efforts, time, and cost. The core advantage of using AI technique is that it reduces the errors and provides quick results by quick decision-making (QDM) power. In the field of civil engineering, some of the most frequently used artificial intelligence techniques are machine learning (ML), deep learning (DL), and pattern recognition (PR). This chapter provides a detailed overview of use of these AI techniques in different aspects/fields of civil engineering starting from the general introduction of AI, and the chapter ends up with the inclusion of all possible areas where use of AI techniques has been widely accepted by the construction team in smart cities to achieve safe, sustainable, precise, and accurate results.