Self-compacting concrete (SCC) behaviour incorporating limestone fines as cement and sand replacement

Skender, Zakaria; Bali, Abderrahim; Kettab, Ratiba

doi:10.1080/19648189.2019.1607564

Cited by 20 publications

(6 citation statements)

References 37 publications

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“…The grading, fineness, amount, particle shape and surface roughness of the filler are important factors for the performance of SCCs in their fresh state. Skender et al (2021) found decreased slump flows with increasing LS content in the case of cement substitution, while T500 and V-funnel flow times increased. On the contrary, LS was used as a cement replacement; larger amounts of filler caused lower yield stress and, as a result, higher slump values were obtained but plastic viscosity increased (Varhen et al 2016).…”

Section: Introductionmentioning

confidence: 82%

Effects of Fines Content and Type, and Coarse Aggregate Size on the Workability Properties of Self-Compacting Concretes

HİLMİOĞLU¹,

SENGÜL²,

Özkul³

2022

Afyon Kocatepe University Journal of Sciences and Engineering

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Self-compacting concretes (SCC) were prepared with 10 mm and 16 mm coarse aggregate sizes and using limestone powder (LS) and fly ash (FA) as fine material. The amount of fines in concrete, where the amount of cement and the water / cement ratio were kept constant, was increased in 36 dm 3 increments up to 108 dm 3 . The effect of the type and amount of fines and coarse aggregate size on flowing, passing, segregation and blocking properties of SCCs were examined. Experimental results indicated that slump flow increases with increasing fines content. Opposite to this, V-funnel times increased with increasing fines content, however, they were shorter for FA than those of LS, which can be attributed the balling and lubrication effect of the former and arching effect of the latter particles. For both fines, higher segregation was obtained for SCCs with 16 mm than those of 10 mm. The SCCs with low amount of fines displayed higher blocking step in general and FA-added concretes had higher segregation than those of LS. The difference in the behaviors of LS and UK added concretes is most probably due to the differences in the particle shape and surface properties.

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Section: Introductionmentioning

confidence: 82%

Effects of Fines Content and Type, and Coarse Aggregate Size on the Workability Properties of Self-Compacting Concretes

HİLMİOĞLU¹,

SENGÜL²,

Özkul³

2022

Afyon Kocatepe University Journal of Sciences and Engineering

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“…Benyamina et al (2019) investigate the influence of quarry limestone fines from manufactured crushed sand on rheological, mechanical and durability properties of SCC. Skender et al (2019) assess the effects of various amounts of Algerian limestone filler, which is expected to modify the physical, mechanical and transport properties of SCC. Ouldkhaoua et al (2019) examine how the use of metakaolin powder and catodique ray tube glass will affect the rheological properties of self-compacting concrete.…”

Section: Literature Reviewmentioning

confidence: 99%

ANN modelling approach for predicting SCC properties - Research considering Algerian experience. Part I. Development and analysis of models

Sahraoui¹,

Bouziani²

2020

J. build. mater. struct.

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This paper presents research on the use of artificial neural networks (ANNs) to predict fresh and hardened properties of self compacting concrete (SCC) made with Algerian materials. A multi-layer perceptron network with 5 nodes, 12 inputs, and 5 outputs is trained and optimized using a database of 167 mixtures collected from literature. The inputs for the ANN models are ordinary Portland cement (Cm), polycarboxylate ether superplasticizer (Sp), river sand (RS), crushed sand (CS), dune sand (DS), Gravel 3/8 (G1), Gravel 8/15 (G2), Water (W), Limestone filler (Lim), Marble powder (MP), blast furnace slag (Slag) and natural pozzolan (Pz). Instead, Slump flow (Slump), V-funnel, L-Box, static stability (Pi) and 28 days compressive strength (Rc28) were the outputs of the study. Results indicate that ANN models for data sets collected from literature have a strong potential for predicting 28 days compressive strength. Slump flow, V-funnel time and L-Box ratio could be moderately identified while an acceptable prediction has been obtained for static stability. Results have also confirmed by statistical parameters, Regression plots and residual analysis.

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“…For up to 10% and 15% LS replacement in self-compacting mortars, workability as measured by slump flow and Vfunnel flow time showed slight improvement; however, workability declined beyond these rates (Benabed et al, 2012). In another study, LS was used by reducing crushed sand or as a cement substitute (Skender et al, 2021). When the percentage of LS was increased, the slump flow decreased, but the decrease was higher for LS-added mixtures than for LS-substituted mixtures.…”

Section: Introductionmentioning

confidence: 99%

FRESH AND HARDENED STATE PROPERTIES OF SCCs PREPARED WITH LIMESTONE-BASED MANUFACTURED AGGREGATES AND POWDER

Özkul

2022

Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi

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Because the amount of sand and gravel extracted from natural resources is quickly depleting, the use of manufactured aggregates is becoming increasingly important in terms of sustainability. In this study, crushed limestone and filler material were used as both sand and coarse aggregate and powder material. As a result, all of the concrete components' grains had an angular form and a rough surface. Self-compacting concretes (SCC) were made with a maximum aggregate size of 10 or 16 mm and cement content of 350 kg/m3. The amount of limestone fine was raised in increments of 100 kg/m3 up to 300 kg/m3. The effects of fine material amount and maximum coarse aggregate size on spreading, flow, passing ability through the obstacles, segregation, and rheological properties of SCCs were determined. Although the mixtures' slump flow performances remained in the SF2 and SF3 classes according to EFNARC standards, longer V-funnel times and larger J-ring differences were obtained when compared to slump flow values, particularly for 16 mm aggregate size. The hardened state properties of concretes were examined by measuring the compressive and splitting tensile strengths, modulus of elasticity and Poisson ratio.

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Self-compacting concrete (SCC) behaviour incorporating limestone fines as cement and sand replacement

Cited by 20 publications

References 37 publications

Effects of Fines Content and Type, and Coarse Aggregate Size on the Workability Properties of Self-Compacting Concretes

Effects of Fines Content and Type, and Coarse Aggregate Size on the Workability Properties of Self-Compacting Concretes

ANN modelling approach for predicting SCC properties - Research considering Algerian experience. Part I. Development and analysis of models

FRESH AND HARDENED STATE PROPERTIES OF SCCs PREPARED WITH LIMESTONE-BASED MANUFACTURED AGGREGATES AND POWDER

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