This study investigates the impact of coarse recycled concrete aggregate (RCA), Ground Granulated Blast Furnace Slag (GGBS), and glass fiber (GF) on the mechanical properties of M30-grade concrete. By varying the proportions of these materials, the study aims to optimize the compressive strength (CS) and split tensile strength (STS) of the concrete. A control mix (CM) was established for baseline comparison, showing a CS of 39.12 MPa and an STS of 3.06 MPa at 28 days of the testing period. Various mixes with different proportions of RCA (10–100%), GGBS (20–40%), and GF (0.25–0.75%) were prepared. The analysis of variance (ANOVA) results indicate that the quadratic model provides the best fit for both CS and STS. STS shows significant p-values and R2 values close to 0.9986. The linear model is suitable for predicting CS, R2 of 0.8207. The most notable improvement was observed in mix RC14, containing 50% RCA, 30% GGBS, and 0.75% GF, which achieved a CS of 44.03 MPa, a 12.56% increase. Mix RC14 also showed the highest STS improvement, with a 71.24% increase to 5.24 MPa. Conversely, mix RC03, with 10% RCA, 40% GGBS, and 0.75% GF, exhibited a 10.46% decrease in STS to 2.74 MPa. Overall, the study supports the feasibility of using sustainable materials in concrete production, promoting eco-friendly construction practices.

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Optimization of Mechanical Properties of M30-Grade Concrete Using Recycled Concrete Aggregates, GGBS, and Glass Fiber

  • Neeraj Kumar,
  • Hemant Sood,
  • Hemant Kumar Vinayak

摘要

This study investigates the impact of coarse recycled concrete aggregate (RCA), Ground Granulated Blast Furnace Slag (GGBS), and glass fiber (GF) on the mechanical properties of M30-grade concrete. By varying the proportions of these materials, the study aims to optimize the compressive strength (CS) and split tensile strength (STS) of the concrete. A control mix (CM) was established for baseline comparison, showing a CS of 39.12 MPa and an STS of 3.06 MPa at 28 days of the testing period. Various mixes with different proportions of RCA (10–100%), GGBS (20–40%), and GF (0.25–0.75%) were prepared. The analysis of variance (ANOVA) results indicate that the quadratic model provides the best fit for both CS and STS. STS shows significant p-values and R2 values close to 0.9986. The linear model is suitable for predicting CS, R2 of 0.8207. The most notable improvement was observed in mix RC14, containing 50% RCA, 30% GGBS, and 0.75% GF, which achieved a CS of 44.03 MPa, a 12.56% increase. Mix RC14 also showed the highest STS improvement, with a 71.24% increase to 5.24 MPa. Conversely, mix RC03, with 10% RCA, 40% GGBS, and 0.75% GF, exhibited a 10.46% decrease in STS to 2.74 MPa. Overall, the study supports the feasibility of using sustainable materials in concrete production, promoting eco-friendly construction practices.