Open Access Journal
QUALIS
B1
2021-2024
quadriênio
Open Access Journal
B1
2021-2024
quadriênio
In the field of civil construction, steel structures stand out in engineering due to their mechanical performance and versatility. However, the traditional model for detecting failures in these structures is slow and often insufficiently timely, relying primarily on visual inspections or manual testing performed by specialized professionals. In this context, the application of Artificial Intelligence (AI) to steel structures has emerged as a promising alternative. Given this scenario, the present study aims to conduct a scientometric analysis of the scientific production on the applications of Artificial Intelligence in steel structures. To achieve this goal, the research adopted a scientometric review method to quantify and visualize the body of scientific literature concerning the use of AI in metallic structures. The study was conducted using the Scopus database and VOSviewer, covering the period from 2020 to 2025. The findings indicate a significant increase in the number of publications related to AI in structural engineering, highlighting relevant journals such as Engineering Structures, Structures, and Buildings. The results show that the main research themes include intelligent structural monitoring, structural optimization, damage detection, particularly corrosion, applications in the wind energy sector, and implementations in emergency scenarios. The analysis also revealed low connectivity among authors and limited collaboration in co-authorship and co-citation networks. The study’s limitations include the use of a single database and a narrow temporal scope. In conclusion, AI plays an increasingly relevant and promising role in structural engineering, expanding opportunities for innovation, efficiency, and safety, while also opening pathways for future research in the field.
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Copyright (c) 2026 Yonara Patricia, Gabriela Alves, Carolina França