From Experimental Studies to Predictive Machine Learning Modelling : Polypropylene Fibre Reinforced Concrete
This study investigates the influence of polypropylene fibres (PF) on concrete performance across a finely resolved dosage spectrum (0.0–2.0% by cement mass, in 0.1% increments) using 2,100 laboratory specimens. The experimental programme evaluated compressive strength, tensile strength (flexural and splitting), modulus of elasticity, and water penetration depth. Predictive modelling was conducted
