Rheological and mechanical properties of fiber-reinforced self-compacting concrete using basalt as aggregate replacement/
Feil Lyod R. Amil, Ma. Regina A. Dela Cruz, Emmanuel H. Embido, John Carlo Lapitan, Arabella L. Masangkay, and Jericho O. Rosales.--
- Manila: Technological University of the Philippines, 2024.
- xviii, 181pages: 29cm.
Bachelor's Thesis
College of Engineering.--
Includes bibliographic references and index.
Self-compacting concrete (SCC) is valued for its high fluidity and ability to fill molds without external vibration, making it ideal for heavily reinforced constructions. However, optimizing its mechanical properties and workability remains a challenge. Incorporating polypropylene fibers (PPF) and polycarboxylate ether (PCE) has shown potential to enhance both rheological and mechanical properties, while replacing traditional aggregates with basalt offers an environmentally friendly alternative. This study investigates the effects of basalt aggregates (BA) and polypropylene fibers on SCC's rheological and mechanical properties, with coarse aggregates replaced by 0%, 25%, 50%, 75%, and 100% basalt, and PPF added at 0.05% and 0.1% of concrete volume. The PCE-based superplasticizer dosage was kept constant at 2.2% of cement weight with a water-cement (w/c) ratio of 0.9. Fresh state tests—Slump Flow, T500 Slump Flow, V-Funnel, and L-Box—were conducted per EFNARC Guidelines, with compressive, flexural, and split-tensile strengths evaluated at 7, 14, and 28 days. Results indicated that increasing PPF and basalt content reduced workability, while SCC mixes without PPF showed superior mechanical properties. The suitable mix, A1 (0% PPF, 25% gravel, 75% basalt), achieved a 735 mm Slump Flow, 6.26-second V-Funnel time, and 0.813 L-Box ratio, with 28-day strengths of 48.333 MPa (compressive), 5.617 MPa (split-tensile), and 5.963 MPa (flexural). In conclusion, the combination of basalt aggregates and polypropylene fibers significantly influences SCC properties, underscoring the need for precise mix designs to balance workability and strength.