Micro and macrolevel properties of fly ash blended self compacting concrete

Jawahar, J. Guru; Sashidhar, C.; Reddy, I. Neelakanta; Peter, J. Annie

doi:10.1016/j.matdes.2012.11.027

Cited by 57 publications

(13 citation statements)

References 31 publications

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“…Lower silica fume content and high fly ash content together resulted in lower 28-day compressive strength of 44.25 MPa for G4 after 28 days of compared to G3. Jawahar et al [45] reported a 28-day compressive 32.26 MPa for SCC mix with 30% fly ash replacement of OPC using w/b of 0.36 (higher than w/b of 0.27 used in this study). Therefore, the use of quaternary mix in this study by including silica fume and slag led to reducing both the use of OPC and the competitive compressive strength.…”

Section: Environmentally-friendly Low Cement Content Scc Mixesmentioning

confidence: 58%

Effect of Mix Constituents and Curing Conditions on Compressive Strength of Sustainable Self-Consolidating Concrete

Mohamed

2019

Sustainability

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The production of cement requires significant energy and is responsible for more than 5% of global CO2 emissions; therefore it is imperative to reduce the production and use of ordinary portland cement (OPC). This paper examines the compressive strength development of low water-to-binder (w/b) ratio self-consolidating concrete (SCC) in which 90% of the cement is replaced with industrial by-products including ground granulated blast furnace slag (GGBS), fly ash, and silica fume. The emphasis in this paper is on replacing a large volume of cement with GGBS, which represented 10% to 77.5% of the cement replaced. Fresh properties at w/b ratio of 0.27 were examined by estimating the visual stability index (VSI) and t50 time. The compressive strength was determined after 3, 7, 28, and 56 days of curing. The control mix made with 100% OPC developed compressive strength ranging from 55 MPa after three days of curing to 76.75 MPa after 56 days of curing. On average, sustainable SCC containing 10% OPC developed strength ranging from 31 MPa after three days of curing to 56.4 MPa after 56 days of curing. However, the relative percentages of fly ash, silica fume, and GGBS in the 90% binder affect the strength developed as well. In addition, this paper reports the effect of the curing method on the 28 day compressive strength of environmentally friendly SCC in which 90% of the cement is replaced by GGBS, silica fume, and fly ash. The highest compressive strength was achieved in samples that were cured for three days under water, then left to air-dry for 25 days, compared to samples cured using chemical compounds or samples continuously cured under water for 28 days. The study confirms that SCC with 10% OPC and 90% supplementary cementitious composites (GGBS, silica fume, fly ash) can achieve compressive strength sufficient for many practical applications by incorporating high amounts of GGBS. In addition, air-curing of samples in a relatively high temperature (after three days of water curing) produce a higher 28 day compressive strength compared to water curing for 28 days, or membrane curing.

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Section: Environmentally-friendly Low Cement Content Scc Mixesmentioning

confidence: 58%

Effect of Mix Constituents and Curing Conditions on Compressive Strength of Sustainable Self-Consolidating Concrete

Mohamed

2019

Sustainability

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“…The collected SCC database taken from published literature [ 17 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 ] includes information on the water–binder ratio, fly ash, fine and coarse aggregate, superplasticizer, and cement content (see Appendix A ). Each model performance is governed by the distribution of its parameters [ 61 ].…”

Section: Data Presentationmentioning

confidence: 99%

A Comparative Study for the Prediction of the Compressive Strength of Self-Compacting Concrete Modified with Fly Ash

et al. 2021

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Artificial intelligence and machine learning are employed in creating functions for the prediction of self-compacting concrete (SCC) strength based on input variables proportion as cement replacement. SCC incorporating waste material has been used in learning approaches. Artificial neural network (ANN) support vector machine (SVM) and gene expression programming (GEP) consisting of 300 datasets have been utilized in the model to foresee the mechanical property of SCC. Data used in modeling consist of several input parameters such as cement, water–binder ratio, coarse aggregate, fine aggregate, and fly ash (FA) in combination with the superplasticizer. The best predictive models were selected based on the coefficient of determination (R2) results and model validation. Empirical relation with mathematical expression has been proposed using ANN, SVM, and GEP. The efficiency of the models is assessed by permutation features importance, statistical analysis, and comparison between regression models. The results reveal that the proposed machine learning models achieved adamant accuracy and has elucidated performance in the prediction aspect.

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“…The compressive strength of SCRM-20NP was 47 MPa and continues to increase and reached 56 MPa at 28-days of curing which was slightly lower than those of the control mixture (57.6 MPa). This can be attributable to the higher rate of C-S-H gel formed during cement hydration [45,46]. However, when the curing age extends from 7 to 28-days, the strength gain for SCRM-10LD was only 13%.…”

Section: Fresh Unit Weightmentioning

confidence: 99%

Influence of limestone dust and natural pozzolan on engineering properties of self-compacting repair mortars

Ghrici

Choucha

Omran

2018

Frattura Ed Integrità Strutturale

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ABSTRACT. The main goal of this work is to develop self-compacting repair mortars (SCRMs) containing limestone dust (LD) and Natural Pozzolan (NP). Therefore, a three different mortar (SCRM0, SCRM-10LD and SCRM-20NP) were prepared and tested according to EN 1504-3. The results of the experimental study showed that the produced repair materials fulfilled the performances requirements for structural repair products, class R4. In addition, complete composite specimens for the slant shear, showed a good bond strength between the SCRMs and existing substrate concrete (SUBC) at 28-days and the fractures were only occurred in the SUBC, which means that the substrate is the weakest link in the repair system.

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Micro and macrolevel properties of fly ash blended self compacting concrete

Cited by 57 publications

References 31 publications

Effect of Mix Constituents and Curing Conditions on Compressive Strength of Sustainable Self-Consolidating Concrete

Effect of Mix Constituents and Curing Conditions on Compressive Strength of Sustainable Self-Consolidating Concrete

A Comparative Study for the Prediction of the Compressive Strength of Self-Compacting Concrete Modified with Fly Ash

Influence of limestone dust and natural pozzolan on engineering properties of self-compacting repair mortars

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