Purpose The study mainly focuses on the incorporation of fibers in concrete, such as steel, glass, carbon fibers, etc., which reduces the propagation of cracks in concrete. The paper also emphasizes the addition of supplementary cementitious material in concrete, such as metakaolin, Silica fume, Ground Granulated Blast-Furnace Slag, Fly ash, etc., which are added in concrete to make the concrete high in strength. It also aims to bridge the research gap between the innovation of materials and their practical implementation in fiber-reinforced concrete in present construction scenarios. The findings presented throughout this review underscore the importance of integrating advanced materials like high strength fiber-reinforced concrete (HSFRC) in modern construction practices, paving the way for innovative designs and sustainable building solutions. Design/methodology/approach In the process, dry components like coarse aggregate, fine aggregate, OPC 53 grade cement and supplementary cementitious materials are initially placed into the concrete mixer. Following this, the necessary amount of water and superplasticizer is added. The fiber is then evenly distributed and fed into the concrete mixture, ensuring thorough mixing to achieve a consistent blend. The freshly prepared concrete is subsequently poured into steel molds, removed from the molds the following day and cured for the specified duration before being subjected to testing. Findings The implementation of artificial intelligence-based prediction techniques in concrete, which is capable of predicting the strength of concrete without the use of technical assistance and sophisticated equipment, is also discussed. The present work is a comprehensive four-part review of the HSFRC. The first part of the review focuses on the Fiber-Reinforced Concrete and various fibers used in FRC. Originality/value This review uniquely connects the world of FRC with the rapidly evolving field of AI-based prediction techniques. While most studies treat them separately, we bring them together to show how advanced algorithms can predict the performance of FRC with greater accuracy and efficiency. By combining insights from experimental research with modern AI models, we highlight not only current capabilities but also future possibilities. This human-centred approach aims to guide engineers, researchers and practitioners toward smarter, faster and more sustainable decisions in designing and evaluating fiber-reinforced concrete.
Praseetha et al. (Mon,) studied this question.