Strength properties and microstructural analysis of self-compacting concrete incorporating waste foundry sand

Sandhu, Ravinder; Siddique, Rafat

doi:10.1016/j.conbuildmat.2019.07.216

Cited by 48 publications

(15 citation statements)

References 25 publications

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“…On the other hand, the same investigation states that the water absorption and voids content were improved by the presence of SFS in a rate of at least 5% of the fine aggregates' weight, which the authors argue is the result of the void-padding effect of the clay-type materials present in the foundry sand. Meanwhile, [57] also confirms the matrix improvements when using up to a 30% SFS replacement and to a 365 days curing age (Fig. 4).…”

Section: Spent Foundry Slagsupporting

confidence: 72%

“…The same authors studied the replacement of sand (and cement) for SFS in concretes, in which water reducing agents were not used, and limited the fraction of SFS passing the N°200 sieve, as ASTMC33 stipulates, to a 4% of the total mass of sand. The study found that the inclusion of SFS, as is corroborated by [57], caused a reduction in workability. Furthermore, SFS substitution leads to a compressive and splitting tensile decrease [57,56], while the elasticity modulus is also impacted [56].…”

Section: Spent Foundry Slagmentioning

confidence: 59%

“…The study found that the inclusion of SFS, as is corroborated by [57], caused a reduction in workability. Furthermore, SFS substitution leads to a compressive and splitting tensile decrease [57,56], while the elasticity modulus is also impacted [56]. On the other hand, the same investigation states that the water absorption and voids content were improved by the presence of SFS in a rate of at least 5% of the fine aggregates' weight, which the authors argue is the result of the void-padding effect of the clay-type materials present in the foundry sand.…”

Section: Spent Foundry Slagmentioning

confidence: 59%

“…This residue is a clay bonded sand termed spent foundry sand (SFS) and is usually mainly composed of silica (with small percentages of bentonite clay, carbonaceous additives and water). When compared to natural sand, SFS typically possesses similar specific gravity and water absorption, and also, higher fines content [56,57]. Additionally, [56] observed that the SFS used on the investigation (of the fraction < 2 lm) possessed a 5% active clay content.…”

Section: Spent Foundry Slagmentioning

confidence: 96%

“…4. SEM micrograph of a SFS concrete containing a 30% aggregate replacement at 365 day curing age in which the location of voids, and CSH gel is indicated [57].…”

Section: Recycled Granulated Steelmentioning

confidence: 99%

See 4 more Smart Citations

Advantages and shortcomings of the utilization of recycled wastes as aggregates in structural concretes

Miraldo

Lopes

Pacheco-Torgal

et al. 2021

Construction and Building Materials

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h i g h l i g h t sComprehensive, systematic review on current state of the art concerning the utilization of a wide array of wastes as aggregates, in ordinary Portland cement concrete compositions, for structural applications. Analysis of the advantages and shortcomings for each recycling material in the context of the adoption of circular patterns in the construction sector life cycle. Evaluation of alkali-activated binders as an alternative for overcoming important shortcomings of Portland cement-based structural concretes.

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Section: Spent Foundry Slagsupporting

confidence: 72%

Section: Spent Foundry Slagmentioning

confidence: 59%

Section: Spent Foundry Slagmentioning

confidence: 59%

Section: Spent Foundry Slagmentioning

confidence: 96%

“…4. SEM micrograph of a SFS concrete containing a 30% aggregate replacement at 365 day curing age in which the location of voids, and CSH gel is indicated [57].…”

Section: Recycled Granulated Steelmentioning

confidence: 99%

See 3 more Smart Citations

Advantages and shortcomings of the utilization of recycled wastes as aggregates in structural concretes

Miraldo

Lopes

Pacheco-Torgal

et al. 2021

Construction and Building Materials

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Durability performance of self‐compacting concrete made with waste foundry sand

Sandhu

Siddique

2021

Structural Concrete

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The utilization of waste foundry sand (WFS) has been widely explored in conventional concrete to evaluate strength and durability properties. In this study, durability properties of self-compacting concrete (SCC) made with various percentages (0%-30%) of WFS as a partial replacement of river sand up to the age of 365 days are investigated. Annually, more than 60 million metric tons of WFS is produced worldwide from the casting industry, creating environmental problems. The scarcity of river sand is another major area of concern that can be addressed with the utilization of WFS in concrete. Tests were conducted for fresh properties, compressive strength, water absorption, sorptivity, rapid chloride permeability, and sulfate resistance. All the SCC mixes exhibited fresh-state properties as per EFNARC. With the incorporation of WFS up to 30% increased volume of permeable pore space (13.43%-16.67%), water absorption (2.11-3.07 mm), chloride permeability (2119-3553 C), and decreased compressive strength of sulfatecured samples by nearly 5% compared to water-cured samples at 28 days of curing were observed. The concrete samples showed better performance of pore structure, permeation, sulfate attack, and chloride permeability at 90 and 365 days of curing age. It was found that cost-effective SCC with performance comparable to the control mix could be achieved by using WFS up to 10%.

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Compressive strength prediction of sustainable concrete containing waste foundry sand using metaheuristic optimization‐based hybrid artificial neural network

Kazemi,

Golafshani,

Behnood

2023

Structural Concrete

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This study seeks to present a sophisticated artificial intelligence (AI) framework to model the compressive strength () of concrete containing waste foundry sand (WFS), with the aim of minimizing the need for time‐consuming laboratory tests and skilled technicians. For this purpose, artificial neural network (ANN) is hybridized with two metaheuristic algorithms—particle swarm optimization (PSO) and ant colony optimization (ACO) to predict the of 340 samples containing WFS collected from the literature. Results indicated that the ACO + ANN model showed the best performance with the Pearson coefficient of 0.9971, mean absolute error of 0.0221 MPa, and root mean squared error of 0.7473 MPa. The values of prediction errors exhibited that more than 90% of them in the ACO + ANN model fall within the range of (−1.5 MPa, 1.5 MPa), while this range for the PSO + ANN and traditional ANN models was obtained as (−3 MPa, 3 MPa) and (−4 MPa, 4 MPa), respectively. Furthermore, the proposed ACO + ANN model predicted the in the range of 5.24–54.48 MPa. Besides, the results indicated that the water‐to‐cement ratio, cement strength class, and cement content had the most significant impact on the of WFS‐containing concrete. Finally, a comparison was made between the proposed ACO + ANN model and four other AI models recently proposed in the literature, in which the performance criteria demonstrated that the proposed ACO + ANN model outperformed the models in the literature.

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Strength properties and microstructural analysis of self-compacting concrete incorporating waste foundry sand

Cited by 48 publications

References 25 publications

Advantages and shortcomings of the utilization of recycled wastes as aggregates in structural concretes

Advantages and shortcomings of the utilization of recycled wastes as aggregates in structural concretes

Durability performance of self‐compacting concrete made with waste foundry sand

Compressive strength prediction of sustainable concrete containing waste foundry sand using metaheuristic optimization‐based hybrid artificial neural network

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