Tuesday, November 11, 2025

Prediction of Compressive Strength of Fiber-Reinforced Concrete Containing Silica (SiO₂)


The integration of silica (SiO₂) into fiber-reinforced concrete (FRC) is revolutionizing modern construction by enhancing strength, durability, and sustainability. Recent studies focus on predicting the compressive strength of this advanced material using machine learning models and statistical analysis. Researchers have demonstrated that the inclusion of nano or micro silica particles significantly improves the interfacial bonding between fibers and cement paste, resulting in superior compressive performance.

By leveraging artificial intelligence techniques such as Artificial Neural Networks (ANN) and Support Vector Machines (SVM), scientists can now accurately forecast the strength outcomes of different concrete mixes before physical testing. This innovation not only saves time and resources but also supports the global push toward smart construction materials and sustainable infrastructure.

As construction industries embrace data-driven approaches, silica-based fiber-reinforced concrete is poised to become a cornerstone of next-generation civil engineering combining strength, resilience, and environmental responsibility.

Popular Engineer Awards

Theme: Popular Engineer Awards for a Connected Future

Popular Engineer Awards celebrate groundbreaking contributions in the field of research data analysis. This year’s theme, "Popular Engineer Awards for a Connected Future," highlights the latest innovations, methodologies, and transformative applications that drive scientific discovery and practical solutions.

By recognizing outstanding researchers, teams, and organizations, these awards aim to:

Honor Excellence – Acknowledge remarkable achievements in data-driven research and innovation.

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