Use of AI in Civil Engineering, its Problems and Solutions

Abstract

Civil engineering being an important field, it has not remained aloof from the global advancements in artificial intelligence (AI). This paper aims to discuss AI technologies in relation to civil engineering and their applicability, advantages and disadvantages. Civil engineering graduates’ use of AI methods like machine learning, neural networks, and deep learning show great potential for innovative practices in aspects like structural health monitoring, construction management, and predicting maintenance needs. To demonstrate the role of AI in civil engineering, this paper compiles a summary and analysis on literature as well as case studies that reveals how AI performs the tasks better by making predictions that are precise; how design procedures are made better; and how safety and efficiency are improved in the execution of civil engineering projects.  However, the following problems remain: data quality problems, need for specialized knowledge, and AI’s interaction with current systems. The presented study outlines the recommendations on how to overcome these problems: data management should be consistently regulated across studies, and AI specialists and civil engineers should work closely together; AI-based methodologies should be integrated into academic curricula. Thus, this paper is to present the analysis of the above mentioned aspects to reveal the future perspectives of AI in CE and critical points that may need further study and development.