Experimental study on behaviour of polyethene therehaphalyte fibre-reinforced roller-compacted concrete pavement with limestone calcined clay cement
摘要
This study evaluates the mechanical and structural performance of Roller Compacted Concrete (ROCC) slabs incorporating recycled polyethylene terephthalate (PET) Fibres and Limestone Calcined Clay Cement (LC3) as sustainable alternatives in concrete pavement applications. The PET Fibre used were 1%, 1.5%, and 2% by weight of cementitious material. An experimental program to investigate the response of square model slabs was tested for static loading at center, edge, and corner positions for 6.5 kg/cm2 and 7.1 kg/cm2 of modulus of soil subgrade reaction. The embedded strain gauges and deflection profile measurements in the slab tests revealed that the inclusion of Fibres effectively facilitated crack bridging, enhanced crack resistance, and promoted more uniform load redistribution. These experimental observations were further corroborated through finite element method (FEM) analysis, demonstrating strong alignment between measured and simulated structural responses, especially for LC3–PET composites. Enhanced performance was more pronounced at a subgrade modulus of 7.1 kg/cm2, with LC3-PET1.5% mix, slab showed the highest energy absorption and sustained contact with the subgrade throughout loading. Finite element analyses conducted in SAP2000 closely replicated experimental results, validating the structural benefits of PET reinforcement. The numerical models captured the transition from linear to nonlinear behavior post-cracking, with LC3-PET1.5% slabs exhibiting superior flexural performance and deformation control. The results reveal that the combined use of LC3 cement and PET Fibres enhances the mechanical integrity, durability, and sustainability of ROCC pavements, offering a viable solution for reducing cement consumption and reusing plastic waste in pavement construction. An experimental and ANN-based study was conducted on ROCC incorporating LC3 and recycled PET Fibres to evaluate flexural and compressive performance. The ANN model, trained using the Levenberg–Marquardt algorithm, accurately predicted cracking loads, displacements, and ultimate strengths, demonstrating its effectiveness as a complementary design tool for sustainable concrete.