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Optimizing High-Performance Concrete Properties Containing Blast Furnace Slag and Marble Powder Cover

Optimizing High-Performance Concrete Properties Containing Blast Furnace Slag and Marble Powder

Open Access
|Sep 2024

Abstract

Building and industrialization-related environmental harm is becoming an increasingly serious concern. In an effort to create an eco-friendly high-performance concrete (HPC), this paper addresses the idea of partially replacing cement with recyclable industrial waste. The current study will experimentally examine the slump, the strengths of compressive (SC) and porosity (P) of fifteen HPC mixtures manufactured from locally available resources. Hence, the effects of utilizing marble powder (MP) as a mineral additive in binary mixes and ternary with cement (PC) and granulated ground blast furnace slag (GGBFS) on the HPCs properties were studied in order to develop statistical models based on mixture design. Highly accurate prediction graphs and models were created for HPC workability, P at 28-day, SC at 7 and 28-day. All responses have satisfactory coefficients of correlation (R2 ≥ 0.76). Replacing cement with GGBFS causes a rise in slump in mixtures. Nevertheless, that only remains relevant when the mixtures have a small MP percentage (≤ 25%). A minor decrease in SC can be attributed by an increase of GGBFS. After 28-day, using GGBFS alone caused a little drop in SC; however, when GGBFS and PC were mixed, SC increased, in comparison with reference composition, and the porosity was reduced. Conversely, SC is superior with lower porosity when a small amount of MP is utilized. The best combination is HPC14, containing 5% GGBFS; it offers an optimal equilibrium among the three qualities; with HPC4’s (15%GGBFS+5%MP) qualities, being almost identical to those of reference HPC15, a lower amount of cement may also be utilized. Findings encourage the use of MP and GGBFS to partially replace cement to produce eco-friendly and cost-effective HPC. An extremely high correlation coefficient indicated a strong relationship between P and SC.

DOI: https://doi.org/10.2478/adms-2024-0018 | Journal eISSN: 2083-4799 | Journal ISSN: 1730-2439
Language: English
Page range: 89 - 110
Submitted on: Jul 2, 2024
Accepted on: Sep 3, 2024
Published on: Sep 14, 2024
Published by: Gdansk University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Belkacem Edeb, Naas Allout, Mahmoud Benkhelil, Salim Guettala, published by Gdansk University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.