Sustainable Use of GGBS and RHA as a Partial Replacement of Cement in the Stabilization of Indian Peat

Paul, Abhinaba; Hussain, Monowar

doi:10.1007/s40891-020-0185-7

Cited by 33 publications

(8 citation statements)

References 26 publications

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“…Many approaches are suggested to address this issue. One of the possible solutions is the total or partial replacement of cement with some other mate-rial that may be readily available in nature [ 14 , 15 , 16 ]. Supplementary cementitious materials, such as silica fume (SF), have been used to partly substitute cement in concrete mixtures to minimize CO 2 emissions from the cement industry [ 17 , 18 , 19 , 20 ].…”

Section: Introductionmentioning

confidence: 99%

Modeling of Mechanical Properties of Silica Fume-Based Green Concrete Using Machine Learning Techniques

et al. 2021

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Silica fume (SF) is a frequently used mineral admixture in producing sustainable concrete in the construction sector. Incorporating SF as a partial substitution of cement in concrete has obvious advantages, including reduced CO2 emission, cost-effective concrete, enhanced durability, and mechanical properties. Due to ever-increasing environmental concerns, the development of predictive machine learning (ML) models requires time. Therefore, the present study focuses on developing modeling techniques in predicting the compressive strength of silica fume concrete. The employed techniques include decision tree (DT) and support vector machine (SVM). An extensive and reliable database of 283 compressive strengths was established from the available literature information. The six most influential factors, i.e., cement, fine aggregate, coarse aggregate, water, superplasticizer, and silica fume, were considered as significant input parameters. The evaluation of models was performed by different statistical parameters, such as mean absolute error (MAE), root mean squared error (RMSE), root mean squared log error (RMSLE), and coefficient of determination (R2). Individual and ensemble models of DT and SVM showed satisfactory results with high prediction accuracy. Statistical analyses indicated that DT models bested SVM for predicting compressive strength. Ensemble modeling showed an enhancement of 11 percent and 1.5 percent for DT and SVM compressive strength models, respectively, as depicted by statistical parameters. Moreover, sensitivity analyses showed that cement and water are the governing parameters in developing compressive strength. A cross-validation technique was used to avoid overfitting issues and confirm the generalized modeling output. ML algorithms are used to predict SFC compressive strength to promote the use of green concrete.

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Section: Introductionmentioning

confidence: 99%

Modeling of Mechanical Properties of Silica Fume-Based Green Concrete Using Machine Learning Techniques

et al. 2021

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“…There are studies that depict on boosting the filler content in the composite material, the strength reduces but the wear resistance of the composite improves [18]. The structure of the material after the tensile strength of the final Cement proportions [19]. Another study suggests that incorporating 10% calcined clay and 107 microbes into conventional concrete can enhance its strength and durability [20].…”

Section: Demonstrates Effectiveness In Laterite Soil Stabilization Si...mentioning

confidence: 99%

“…Treatment of Coastal Soils and Stabilization of Laterite Soils-It was investigated how RHA stabilizes laterite soil, and it was found that higher RHA content improved UCS, CBR, and compaction properties. Its efficaciousness in stabilizing laterite soil was established when optimal performance was observed at 4-6% RHA [18][19][20]. The geotechnical behavior of soil from the Bagan Lalang coast treated with cement, lime, and RHA also shown notable changes in soil parameters, supporting the use of an inexpensive, green mixture as shown table 1 [10].…”

Section: Introductionmentioning

confidence: 97%

Optimization of RHA and Cement proportion for soil stabilization

Raman,

Lavanya,

et al. 2024

E3S Web of Conf.

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The process of changing a soil’s physical characteristics to provide it long-term, permanent improvements in strength is known as soil stabilisation. Increasing a soil’s overall bearing capacity and shear strength is how stabilisation is achieved. After stabilisation, a solid monolith forms, reducing permeability and hence the possibility for shrinkage and swelling as well as the damaging impacts of freeze-thaw cycles. The goal of this study is to improve the physical characteristics of soils for better building results by investigating the potential of cement and rice husk ash (RHA) as soil stabilizing materials. Using RHA, a byproduct of milling rice, this study investigates alternate, environmentally friendly stabilization techniques with respect to the limits of traditional cement-based stabilization. The study assesses the impacts of different RHA and cement mixtures on soil’s Liquid Limit, Plastic Limit, and Plasticity Index using a thorough experimental approach. The factorial experiment provides important insights into changes in soil plasticity over a 3x3 matrix under nine distinct settings. The results show that while larger RHA percentages considerably lower the Plasticity Index, indicating improved soil stability, increasing cement concentration generally rises the Liquid and Plastic Limits. The satisfactory combination, determined to be 15% RHA and 8% cement, presents a possible path closer to producing soil that is less plastic and more durable. This obseravtion helps to broaden sustainable, low-cost techniques of stabilizing soil at the same time as also shedding light on the synergistic impacts of cement and RHA on soil parameters.

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“…The incorporation of these waste materials as partial replacements in foamed concrete production not only diminishes waste generation but also enhances specific properties of the concrete. Notably, the addition of fly ash and GGBS has been shown to improve the compressive strength and durability of foamed concrete (17,87,88). Furthermore, substituting waste glass sand for lightweight expanded perlite contributes to enhanced physico-mechanical properties, durability, and insulation characteristics of foamed concrete (11).…”

Section: Alternative Binders In Foamed Concretementioning

confidence: 99%

Challenges in Foamed Concrete: Exploring Alternative and Sustainable Materials – A Comprehensive Review

Madera Sierra,

Ramos-Escobar,

Manuel A

2023

inycomp

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This document provides a contemporary overview of a wide array of aspects concerning foam concrete and its inherent properties. This review covers topics such as the use of alternative binders, the influence of water/cement ratio, fine aggregate replacements and an examination of mechanical properties. By meticulously scrutinizing compressive strength data from multiple authors, this exploration not only highlights the current state of knowledge but also underscores the potential for future investigations in the realm of foamed concrete. Similarly, this examination realizes the limitations that the unique structure of foamed concrete imposes on diverse applications in construction and engineering.

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Sustainable Use of GGBS and RHA as a Partial Replacement of Cement in the Stabilization of Indian Peat

Cited by 33 publications

References 26 publications

Modeling of Mechanical Properties of Silica Fume-Based Green Concrete Using Machine Learning Techniques

Modeling of Mechanical Properties of Silica Fume-Based Green Concrete Using Machine Learning Techniques

Optimization of RHA and Cement proportion for soil stabilization

Challenges in Foamed Concrete: Exploring Alternative and Sustainable Materials – A Comprehensive Review

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