Numerical and experimental analysis of polypropylene, and polyvinyl alcohol fiber and dosage effects on the mechanical properties of reinforced concrete

Abstract

Because of its natural brittleness and cracking vulnerability, fiber reinforcement technologies have advanced. This thesis investigates how steel fibers impact the mechanical attributes of reinforced concrete using a combined numerical and experimental method. Finite element analysis (FEA) was performed using both deterministic and stochastic approaches. The deterministic method uses the Mazars damage model to assess parameters influencing tensile and compressive behaviours, comparing anticipated peak loads and displacements with empirical findings. The stochastic study, incorporating Gaussian random fields, investigates regional variability in mechanical characteristics and their impact on crack propagation and structural performance. The research assesses polypropylene (PP) and polyvinyl alcohol (PVA) fibers at different doses, analysing their impacts on shear strength, flexural performance, and crack mitigation. Findings demonstrate that fiber orientation and distribution markedly affect load capacity, energy dissipation, and the progression of crack patterns. The stochastic simulations demonstrate improved accuracy in forecasting structural reactions, highlighting the significance of spatial variability modelling for authentic performance evaluations. This thorough research enhances fiber-reinforced concrete designs, providing essential insights for augmenting durability, structural integrity, and cost-efficiency in building applications.