Advances in High-Performance Concrete Materials for Structural Engineering Applications: A Critical Review
https://doi.org/10.46610/IJSAACT.2026.v02i01.003
Keywords:
HPC, Machine learning, Self-healing, Sustainable materials, UHPC, Waste utilizationAbstract
This study offers a thorough examination of recent developments in high-performance and ultra-high-performance concrete (HPC/UHPC), emphasising sustainable materials and cutting-edge technologies. As the need for long-lasting and environmentally friendly building materials grows, industrial by-products, agricultural waste, and waste-derived materials, including slag, ash, and recycled parts, have been added to the mix. These materials help lower carbon emissions while still performing well mechanically. Some cases show small drops in compressive strength, but overall, the material is much more durable, ductile, and structurally sound over time. The review also talks about how nano-materials, hybrid fibres, and self-healing processes may make things stronger, with values as high as 177.8 MPa, and how they can also make things less permeable and less likely to break down in the environment. Also, using machine learning and forecasting modelling approaches has made it possible to accurately forecast performance, frequently with an accuracy rate of more than 90%. This has improved the mix design and cut down on the number of experiments needed. In general, the results show that for current infrastructure applications, they need to combine sustainable material advances with smart computational methods to make concrete frameworks that are efficient, long-lasting, and good for the planet.