In the quest to build stronger, more sustainable structures, researchers are increasingly turning to unconventional materials and advanced modeling techniques. A groundbreaking study led by Daudi Salezi Augustino from the Department of Structural and Construction Engineering has shed new light on the potential of waste tyre steel fibres in enhancing the compressive strength of concrete. The research, published in Advances in Civil Engineering, could revolutionize the construction industry, particularly in the energy sector, where durability and strength are paramount.
Augustino and his team have developed a sophisticated parametric model using Abaqus software to simulate the interface between fibre and concrete. This model considers various fibre lengths and interface properties, providing a detailed understanding of how fibres interact with the concrete matrix. “The key innovation here is the focus on the interfacial properties,” Augustino explains. “Traditionally, fibres are just mixed into the concrete randomly. But by understanding and optimizing the interface, we can significantly enhance the material’s performance.”
The study also employs an artificial neural network (ANN) model to predict the compressive strength of high-strength concrete at 28 days of curing. The ANN model uses fibre length, fibre content, and early compressive strength measurements as inputs, offering a powerful tool for quality control and material optimization. The model’s accuracy is impressive, with a mean squared error of just 0.0194 and a coefficient of determination (R2) of 0.961. This means the predictions are remarkably close to experimental results, providing a reliable basis for practical applications.
One of the most striking findings is the significant role of fibre length in load-bearing capacity. For fibres 60mm in length, the finite element model showed that a maximum shear force of 649.6 N is generated when the interface is displaced by less than 0.15mm. This indicates that longer fibres can substantially contribute to the concrete’s ability to carry loads, a crucial factor in the construction of energy infrastructure.
The implications for the energy sector are substantial. As the demand for renewable energy sources grows, so does the need for durable, long-lasting structures to support them. Wind turbines, solar farms, and other energy infrastructure require materials that can withstand extreme conditions and heavy loads. The use of waste tyre steel fibres in concrete could provide a sustainable and cost-effective solution, reducing the environmental impact of construction while enhancing structural performance.
Moreover, the ANN model’s ability to predict compressive strength based on early measurements could streamline quality control processes, reducing waste and improving efficiency. “This technology has the potential to transform the way we approach concrete construction,” Augustino notes. “By predicting material properties early in the curing process, we can make more informed decisions and optimize our use of resources.”
As the construction industry continues to evolve, the integration of advanced modeling techniques and sustainable materials will be crucial. This research paves the way for future developments in the field, offering a glimpse into a future where buildings and infrastructure are not only stronger and more durable but also more environmentally friendly. The study, published in Advances in Civil Engineering, marks a significant step forward in this direction, providing valuable insights and tools for engineers and researchers alike.