Evaluation of combined utilization of marble dust powder and fly ash on the properties and sustainability of high-strength concrete

Ahmed, Zaryab; Shah, Syed Waqar; Memon, Muhammad Saad; Jhatial, Ashfaque Ahmed; Keerio, Manthar Ali; Goh, Wan Inn

doi:10.1007/s11356-021-18379-1

Cited by 21 publications

(6 citation statements)

References 58 publications

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“…These results indicate that the addition of MD and SA to concrete could reduce the micro-voids and enhance the pozzolanic reaction, resulting in the formation of C-S-H gels that improve the binding property. The above results agree with the findings of Vardhan et al [46]. However, it was observed that increasing the replacement level of cement with MD to 20% and 30% does not affect the hydration process, which leads to a significant decrease in compressive strength.…”

Section: Fresh Propertiessupporting

confidence: 92%

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Utilizing Stearic-Acid-Coated Marble Dust for the Production of Eco-Friendly Self-Cleaning Concrete: RSM Modeling and Optimization

Singh

Mohammed

2023

Sustainability

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With the growing demands of the construction industry, the need for manufacturing cement increases, and it causes challenges to the climate as one ton of cement results in the release of around one ton of CO2. Therefore, it is essential to find an alternative to reduce the environmental impact. This study aims to optimize the properties of concrete containing marble dust and stearic acid to produce eco-friendly and self-cleaning concrete. Stearic acid induces a self-cleaning property in concrete to make it free from moisture, leading to its prolonged service life. Thirteen mixes are designed, using marble dust as a partial replacement of cement by weight (at 10%, 20%, and 30%) and stearic acid by cement weight (at 0.5%, 1%, and 1.5%) in this eco-friendly self-cleaning concrete. Nine mixes were developed using response surface methodology (RSM), where two variable inputs were considered. The compressive, tensile, and flexural strengths were assessed. Other tests such as ultrasonic pulse velocity, Young’s modulus of elasticity, density, scanning electron microscopy (SEM), energy dispersive X-ray (EDX) analysis, and self-cleaning property have been conducted and evaluated. At 10% replacement of marble dust by the weight of cement and with a 0.5% coating of stearic acid, the compressive, tensile, and flexural strength of concrete increases by 12.68%, 21.71%, and 16.73% over the control mix, whereas the best self-cleaning property is observed at 30% partial replacement of cement with marble dust coated with 1.5% of stearic acid.

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Section: Fresh Propertiessupporting

confidence: 92%

“…This is due to the higher surface area of MD than that of the cement, resulting in an increase in internal friction with the increase in the replacement percentage. This may also be because marble dust adsorbs more water when the concrete is in fresh condition, as concluded by Rid et al [46].…”

Section: Fresh Propertiesmentioning

confidence: 81%

Utilizing Stearic-Acid-Coated Marble Dust for the Production of Eco-Friendly Self-Cleaning Concrete: RSM Modeling and Optimization

Singh

Mohammed

2023

Sustainability

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“…Along with urbanization and industrialization, there is a steady increase in the need for concrete. Because of this, the manufacture of concrete requires a lot of raw materials and natural resources [1] [2]. A significant amount of agricultural waste and other types of solid material disposal such as animal bones are also creating significant environmental problems [3].…”

Section: Introductionmentioning

confidence: 99%

Recycling of animal bone as partial replacement for coarse aggregate in lightweight hollow sandcrete blocks

Edun,

Ajayi,

Afolalu

et al. 2023

E3S Web Conf.

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Animal bone waste (ABW) is hazardous to the environment and necessitates a sizable area for disposal. This study aims to employ animal bone waste (ABW) in functionalised compact concrete as a partial substitution for cementitious materials, the source of which are both unswerving and appropriate for substitute preventive solutions promotes the industry’s ecological sustainability by minimizing and reducing the negative impact of the concrete industry due to the explosive usage of raw materials. As a result, this paper examines the impact of using crushed animal bones as coarse aggregates in place of sand and cement in the production of concrete. With an improved step level of 10% through cement mass, ABW was applied at a percentage range of 0 to 40%. Bone’s various characteristics in its fresh and hardened states were looked examined. A Sieve shaker machine was employed to sieve the bone after which the bone was boiled and dried to remove moisture. To evaluate whether the employed aggregates and crushed animal bone were suitable for use in concrete, a physical analysis of each was performed.

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“…Concrete is frequently utilized in industries, which increases its demand and will result in its depletion. It would be economically viable to employ waste material in infrastructure development if it met the required specifications [ 4 , 5 ]. Various hazardous wastes are generated as a result of industrialization, which can be managed by incorporating them into basic concrete components.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Techniques for Evaluating Concrete Strength with Waste Marble Powder

et al. 2022

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The purpose of the research is to predict the compressive and flexural strengths of the concrete mix by using waste marble powder as a partial replacement of cement and sand, based on the experimental data that was acquired from the laboratory tests. In order to accomplish the goal, the models of Support vector machines, Support vector machines with bagging and Stochastic, Linear regression, and Gaussian processes were applied to the experimental data for predicting the compressive and flexural strength of concrete. The effectiveness of models was also evaluated by using statistical criteria. Therefore, it can be inferred that the gaussian process and support vector machine methods can be used to predict the respective outputs, i.e., flexural and compressive strength. The Gaussian process and Support vector machines Stochastic predicts better outcomes for flexural and compressive strength because it has a higher coefficient of correlation (0.8235 and 0.9462), lower mean absolute and root mean squared error values as (2.2808 and 1.8104) and (2.8527 and 2.3430), respectively. Results suggest that all applied techniques are reliable for predicting the compressive and flexural strength of concrete and are able to reduce the experimental work time. In comparison to input factors for this data set, the number of curing days followed by the CA, C, FA, w, and MP is essential in predicting the flexural and compressive strength of a concrete mix for this data set.

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Evaluation of combined utilization of marble dust powder and fly ash on the properties and sustainability of high-strength concrete

Cited by 21 publications

References 58 publications

Utilizing Stearic-Acid-Coated Marble Dust for the Production of Eco-Friendly Self-Cleaning Concrete: RSM Modeling and Optimization

Utilizing Stearic-Acid-Coated Marble Dust for the Production of Eco-Friendly Self-Cleaning Concrete: RSM Modeling and Optimization

Recycling of animal bone as partial replacement for coarse aggregate in lightweight hollow sandcrete blocks

Machine Learning Techniques for Evaluating Concrete Strength with Waste Marble Powder

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