Fly Ash-Based Eco-Efficient Concretes: A Comprehensive Review of the Short-Term Properties

Amran, Mugahed; Fediuk, Roman; Murali, G.; Avudaiappan, Siva; Ozbakkaloglu, Togay; Vatin, Nikolai; Karelina, M. Yu.; Klyuev, Sergey; Gholampour, Aliakbar

doi:10.3390/ma14154264

Cited by 98 publications

(79 citation statements)

References 235 publications

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“…Thus, the appropriate NS content was to be found close to 1.5%. These results were similar to the previous findings reported by many researchers worldwide [34][35][36][37][38][39][40][41][42][43][44][45][46].…”

Section: Flexural Strengthsupporting

confidence: 92%

Experimental Investigation and Image Processing to Predict the Properties of Concrete with the Addition of Nano Silica and Rice Husk Ash

Avudaiappan

Prakatanoju²,

Amran

et al. 2021

Crystals

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The use of the combination of ultrafine rice husk ash (RHA) and nano silica (NS) enhances the compactness of hardened concrete, but there is still a lack of studies that address the effects of NS and RHA on the workability, mechanical properties and pore microstructure of concrete. This study mainly aims to investigate the influence of the pore size distribution in multiphysics concrete model modified by NS and RHA and to determine the workability and mechanical properties of concrete with NS and RHA. In this work, NS and RHA were used as 0, 5, 10, 15 and 20% replacements of ordinary Portland cement (OPC) in concrete grade M20. Concrete mixed with NS and RHA showed improved performance for up to 10% addition of NS and RHA. Further addition of NS and RHA showed a decrease in performance at 7, 14 and 28 days. The decrease in concrete porosity was also found to be up to 10% when adding NS and RHA to cement. Image processing was performed on the cement-based materials to describe the microstructure of the targeted material without damage. The results from the experimental and tomography images were utilized to investigate the concrete microstructure and predict its inner properties.

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Section: Flexural Strengthsupporting

confidence: 92%

Experimental Investigation and Image Processing to Predict the Properties of Concrete with the Addition of Nano Silica and Rice Husk Ash

Avudaiappan

Prakatanoju²,

Amran

et al. 2021

Crystals

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“…Concrete is one of the most frequently used materials in construction worldwide [ 1 , 2 , 3 , 4 , 5 , 6 ]. The universality of concrete is due to a number of factors, including their ease of acquisition, resistance to water and heat, and adaptability to a variety of sizes and shapes [ 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

Application of Advanced Machine Learning Approaches to Predict the Compressive Strength of Concrete Containing Supplementary Cementitious Materials

Ahmad

Ostrowski

et al. 2021

Materials

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The casting and testing specimens for determining the mechanical properties of concrete is a time-consuming activity. This study employed supervised machine learning techniques, bagging, AdaBoost, gene expression programming, and decision tree to estimate the compressive strength of concrete containing supplementary cementitious materials (fly ash and blast furnace slag). The performance of the models was compared and assessed using the coefficient of determination (R2), mean absolute error, mean square error, and root mean square error. The performance of the model was further validated using the k-fold cross-validation approach. Compared to the other employed approaches, the bagging model was more effective in predicting results, with an R2 value of 0.92. A sensitivity analysis was also prepared to determine the level of contribution of each parameter utilized to run the models. The use of machine learning (ML) techniques to predict the mechanical properties of concrete will be beneficial to the field of civil engineering because it will save time, effort, and resources. The proposed techniques are efficient to forecast the strength properties of concrete containing supplementary cementitious materials (SCM) and pave the way towards the intelligent design of concrete elements and structures.

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“…Hence, within the scope of the 2030 ONU agenda, the development of hydraulic binders that match the technical, economic, and workability qualities of OPC but allow the reduction of the ecologic footprint represents a target and a challenge to both researchers and the cement industry. At present, a number of scholars in the world are engaged in finding solutions in this research area, as summarized in the works of Scrivener et al and Gartner et al [ 4 , 5 ], while others have assessed the sustainability of some proposed solutions, e.g., in recent works of Amran et al or Bilek et al [ 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

The Apparent Activation Energy of a Novel Low-Calcium Silicate Hydraulic Binder

Antunes

Santos²,

Pereira³

et al. 2021

Materials

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In this work, the apparent activation energy (Ea) of a novel low-calcium binder was, for the first time, experimentally determined, using a calorimetric approach. Additionally, a correlation between the Ea, measured at the acceleration period with the C/S ratio of the hydration product is proposed. The Ea of the prepared pastes was determined through isothermal calorimetry tests by calculating the specific rate of reaction at different temperatures, using two different approaches. When comparing the Ea, at the acceleration period of this novel binder with the one published for alite and belite, we observed that its value is higher, which may be a result of a different hydration product formed with a distinct C/S ratio. Finally, to study the temperature effect on the compressive strength at early ages, a set of experiments with mortars was performed. The results showed that the longer the curing time at 35 °C, the higher the compressive strength after 2 days of hydration, which suggests a higher initial development of hydration products. This study also indicated that the novel binder has a higher sensitivity to temperature when compared with ordinary Portland cement (OPC).

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Fly Ash-Based Eco-Efficient Concretes: A Comprehensive Review of the Short-Term Properties

Cited by 98 publications

References 235 publications

Experimental Investigation and Image Processing to Predict the Properties of Concrete with the Addition of Nano Silica and Rice Husk Ash

Experimental Investigation and Image Processing to Predict the Properties of Concrete with the Addition of Nano Silica and Rice Husk Ash

Application of Advanced Machine Learning Approaches to Predict the Compressive Strength of Concrete Containing Supplementary Cementitious Materials

The Apparent Activation Energy of a Novel Low-Calcium Silicate Hydraulic Binder

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