A experimental study of natural admixture effect on conventional concrete and high volume class F flyash blended concrete

Babu, T. Narendiranath; Neeraja, D.

doi:10.1016/j.cscm.2016.09.003

Cited by 30 publications

(18 citation statements)

References 21 publications

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“…106 According to Bashir et al, 107 eggshell powder contains 94% CaCO 3 , 1% Ca 3 (PO 4 ) 2 , and 1% of MgCO 3 . Furthermore, a boiled ES mix, according to Babu and Neeraja, 108 contains around 79% CaO and 19% SiO 2 . Cubic specimens that have dimensions of 10 cm Â 10 cm Â 10 cm were used to test the compressive strength of concrete samples manufactured with various percentages of ES powder as a F I G U R E 4 Ground and polished sections and SEM images of the eggshell (ES) replacement for cement.…”

Section: Properties Of Eggshell Powdermentioning

confidence: 99%

The metaheuristic optimization of the mechanical properties of sustainable energies using artificial neural networks and genetic algorithm: A case study by eggshell fine waste

Wang

AL‐Huqail

Salimimoghadam

et al. 2022

Intl J of Energy Research

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Summary Eggshell concrete is a novel green material that aids the recycling of eggshell powder (ESP) waste while decreasing the environmental damage due to higher manufacture to develop sustainable energies. Nevertheless, current investigations on eggshell concrete are limited, and the results might vary according to admixture design variations. Despite the fact that the design of experiments is utilized to simplify and optimize the research of sustainable energies, the studies employing eggshell concrete are still uncommon. The powdered egg shells were employed as fine concrete aggregate as a tool of sustainable energies. The flexural and compressive strength of concrete with (5%, 10%, and 15%) and without egg shell are examined, and the findings are predicted by artificial neural network (ANN) and genetic algorithm (GA) as a hybridized model of ANN‐GA. The contour plot research revealed that eggshell powder boosted the energy stability in an appropriate replacement proportion of 5% to 10%. Conversely, for mix designs with a larger water ratio, the partial substitution with eggshell powder is preferable. The findings demonstrate that with 5% ESP replacement, the strengths were greater than in control concrete, indicating that 5% ESP is an ideal content for maximal strength. Furthermore, in terms of transport qualities, the performance of ESP concretes was equivalent to control concrete up to 15% ESP substitution. The statistical regression indices as determination coefficient (R2) and root‐mean‐square error demonstrated that the ANN‐GA model is an effective tool for formulating and predicting the flexural and compressive strength of eggshell concrete to develop sustainable energies.

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Section: Properties Of Eggshell Powdermentioning

confidence: 99%

The metaheuristic optimization of the mechanical properties of sustainable energies using artificial neural networks and genetic algorithm: A case study by eggshell fine waste

Wang

AL‐Huqail

Salimimoghadam

et al. 2022

Intl J of Energy Research

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“…Bashir et al [73] reported the chemical composition of eggshell powder as 94%, 1%, and 1% of CaCO 3 , CaPO 4 , and MgCO 3 , respectively. Moreover, according to Babu and Neeraja [74], a boiled ES mixture comprises roughly 79% and 19% of CaO and SiO 2 , respectively. Table 2 summarizes the chemical analysis of eggshell powder using the XRF method.…”

Section: Properties Of Eggshell Powdermentioning

confidence: 99%

Metaheuristic Prediction of the Compressive Strength of Environmentally Friendly Concrete Modified with Eggshell Powder Using the Hybrid ANN-SFL Optimization Algorithm

et al. 2021

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The aim of this article is to predict the compressive strength of environmentally friendly concrete modified with eggshell powder. For this purpose, an optimized artificial neural network, combined with a novel metaheuristic shuffled frog leaping optimization algorithm, was employed and compared with a well-known genetic algorithm and multiple linear regression. The presented results confirm that the highest compressive strength (46 MPa on average) can be achieved for mix designs containing 7 to 9% of eggshell powder. This means that the strength increased by 55% when compared to conventional Portland cement-based concrete. The comparative results also show that the proposed artificial neural network, combined with the novel metaheuristic shuffled frog leaping optimization algorithm, offers satisfactory results of compressive strength predictions for concrete modified using eggshell powder concrete. Moreover, it has a higher accuracy than the genetic algorithm and the multiple linear regression. This finding makes the present method useful for construction practice because it enables a concrete mix with a specific compressive strength to be developed based on industrial waste that is locally available.

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“…And the modulus of elasticity increases from 28days to 365 days. [2], [5], [6], [8], [10], [12], [17].  The colour of HVFA concrete was found to be influenced by the intensity of temperature exposure and the deterioration of HVFA concrete increased with an increase in temperature.…”

Section: Major Finding From the Literature Reviewmentioning

confidence: 99%

“… Observed that 0.25% of natural admixture dosage can be considered as optimum dosage for fly ash blended concrete. [10].…”

Section: Major Finding From the Literature Reviewmentioning

confidence: 99%

A Review Paper on Performance Behavior of High Volume Fly-Ash Concrete Under Elevated Temperature

Ashwini¹,

HS²,

Nikhil³

2020

IJISRT

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Removal of fly ash (FA) coming about because of the burning of coal-terminated electric fire stations and nuclear power plants is one of the major natural difficulties. This test keeps on expanding with expanding the measure of FA and diminishing the limit of landfill space. Consequently, considers have been done to re-utilize high-volumes of fly ash (HVFA) as concrete substitution in development materials. This paper presents a diagram of the past investigations did on the utilization of high volume FA as a fractional substitution of concrete in customary solid blends dependent on Portland concrete (PC). Crisp properties, mechanical properties, warm properties and electrical resistivity of solid blends containing HVFA as concrete substitution have been surveyed additionally depicts the an outline of the past investigations on various kinds of cement presented to changing raised temperature and their quality properties over the temperature introduction are assessed.

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A experimental study of natural admixture effect on conventional concrete and high volume class F flyash blended concrete

Cited by 30 publications

References 21 publications

The metaheuristic optimization of the mechanical properties of sustainable energies using artificial neural networks and genetic algorithm: A case study by eggshell fine waste

The metaheuristic optimization of the mechanical properties of sustainable energies using artificial neural networks and genetic algorithm: A case study by eggshell fine waste

Metaheuristic Prediction of the Compressive Strength of Environmentally Friendly Concrete Modified with Eggshell Powder Using the Hybrid ANN-SFL Optimization Algorithm

A Review Paper on Performance Behavior of High Volume Fly-Ash Concrete Under Elevated Temperature

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