Non-destructive testing and micro-structural analysis of self-compacting concrete using different mineral powder additions in ternary blends
Abstract
This paper investigates the behaviour of ternary blended self-compacting concrete (SCC) in terms of its strength via non-destructive tests and micro-structural analysis. As admixtures, metakaolin (MK) and high calcium fly ash (HCFA) were employed, with waste marble powder (WMP) serving as filler material. A total of 9 SCC mixes, including a control mix, were tested. Different proportions of MK (5% to 20%) were used as partial replacements for cement. A fixed proportion of 15% of HCFA and 20% of WMP were used as partial replacements of cement and sand, respectively, in all SCC mixes except the control mix. The efficacy of HCFA was determined using a control mix containing only 15% of HCFA as cement replacement. The combination aims to offset the limitations of individual materials through synergistic effects. To evaluate the mechanical and structural performance of the mixes, Modulus of Elasticity (MOE) tests were conducted, followed by non-destructive Rebound Hammer and Ultrasonic Pulse Velocity (UPV) tests at 28 and 90 days. Additionally, the internal matrix development was examined using Scanning Electron Microscopy (SEM). Statistical analysis, including post hoc comparisons with Bonferroni correction, was employed to control Type I errors and ensure reliable pairwise comparisons among mixes. These findings are vital for identifying optimal SCC formulations that offer a balance of strength, durability, and sustainability, while also reducing OPC consumption for enhanced…
Read the paper
Related studies
- Chaos and quantum thermalization
- The Dalton quantum chemistry program system
- Quantum dots: synthesis, bioapplications, and toxicity
- Cord Blood Leptin and Adiponectin as Predictors of Adiposity in Children at 3 Years of Age: A Prospective Cohort Study
- A Guide to In Silico Drug Design
- Quantitative metabolomics by H-NMR and LC-MS/MS confirms altered metabolic pathways in diabetes
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.