Analyzing the Mechanical Properties of Fiber-Reinforced Concrete: A Bibliometric Review of Current Trends, Research Advances, and Future Outlook | ||
| Advanced Sciences and Technology Journal | ||
| Articles in Press, Accepted Manuscript, Available Online from 22 August 2025 | ||
| Document Type: Special Issue (AISD 2025)_Submissions closed | ||
| DOI: 10.21608/astj.2025.396894.1077 | ||
| Authors | ||
| Ahmed M. Gomaa* 1; Kamal Hafez2; Bishoy Refaat3; Hashem Ahmed3; Mina Hesham3; Mohamed Ehab3; Raafat Osama3; Moaz Walid3; Khaled Samy3 | ||
| 1Department of Construction and Building Engineering, Faculty of Engineering and Technology, Egyptian Chinese University, Cairo, Egypt | ||
| 2Department of Civil Engineering, Faculty of Engineering, Suez Canal University, Ismailia, Egypt | ||
| 3Department of Civil Engineering, The Higher Institute of Engineering and Technology Fifth Settlement, Egypt | ||
| Abstract | ||
| Fiber-reinforced concrete (FRC) is a key innovation in civil engineering, providing improved mechanical properties and durability. This study uses bibliometric analysis to explore trends, advancements, and future directions in FRC research. By analyzing 292 articles from 2010 to March 2025 using VOSviewer software, the study offers a comprehensive overview of FRC applications, such as enhancing tensile strength, crack resistance, and structural sustainability. Challenges identified include cost-effectiveness, scalability, and material compatibility. The research highlights influential institutions, authors, and countries contributing to FRC advancements and examines emerging themes like machine learning (ML) integration. ML techniques, including artificial neural networks and regression models, are increasingly employed to optimize FRC formulations and improve performance predictions. Research gaps, such as the need for hybrid methodologies and interdisciplinary collaboration, are also identified. The study emphasizes the growing focus on sustainability, including the development of eco-friendly materials and the transformative potential of advanced computational techniques in FRC applications. By providing insights into global research trends and key contributions, this analysis serves as a valuable resource for researchers, practitioners, and policymakers. It underscores the importance of integrating FRC with innovative technologies to foster sustainable and efficient construction practices in civil engineering. | ||
| Keywords | ||
| Fiber-reinforced concrete; Machine Learning (ML) Applications; Bibliometric Study; Concrete Mechanical Characteristics; Forecasting Models | ||
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