Formulation and characterization of self compacting concrete with silica fume

.S., Kennouche

doi:10.5897/jetr2013.0306

Cited by 12 publications

(1 citation statement)

References 7 publications

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“…S. Kennouche researched self-compacting concrete and found that the best workability results could be achieved when 15 % of silica fume was added to cement [11]. Badr El-Din Ezzat Hegazy made bricks for an extremely aggressive environment and found that the best physical and mechanical properties could be achieved and when the mixture contained 25 % (by weight) of silica fume [12].…”

Section: Introductionmentioning

confidence: 99%

Influence of silica fume on the workability and hydration process of ultra-high performance concrete

Šerelis¹,

Vaitkevičius²,

Kerševičius³

2016

ChemTech

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The present article reviews the influence of silica fume on the workability and hydration process of ultra-high performance concrete (UHPC). Silica fume, also known as microsilica (MS) or condensed silica fume, is a by-product of the production of silicon metal or ferrosilicon alloys. Silica fume is one of the most effective pozzolanic additives which could be used for ultrahighperformance and other types of concrete. According to the literature review, it is not entirely clear which amount of silica fume is optimal, how silica fume affects the hydration process; although the literature is rich in reporting on silica fume, however, most of the scientists are concentrated on workability and compressive strength. The purpose of this research is to extend knowledge on the workability and hydration process of ultra-high performance concrete affected by different amounts of silica fume. For investigation, slump, viscosity, qualitative and quantitative XRD analysis and compression strength tests were applied. The hydration time was reduces by 4.5 hours, and the compressive strength was increased by 30 % (from 95 MPa up to 127 MPa).

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Section: Introductionmentioning

confidence: 99%

Influence of silica fume on the workability and hydration process of ultra-high performance concrete

Šerelis¹,

Vaitkevičius²,

Kerševičius³

2016

ChemTech

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Predictive modeling of compressive strength in silica fume‐modified self‐compacted concrete: A soft computing approach

Abdulrahman,

Jaf,

Malla

et al. 2024

Structural Concrete

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Self‐compacting concrete (SCC) is a specialized type of concrete that features excellent fresh properties, enabling it to flow uniformly and compact under its weight without vibration. SCC has been one of the most significant advancements in concrete technology over the past two decades. In efforts to reduce the environmental impact of cement production, a major source of CO2 emissions, silica fume (SF) is often used as a partial replacement for cement. SF‐modified SCC has become a common choice in construction. This study explores the effectiveness of soft computing models in predicting the compressive strength (CS) of SCC modified with varying amounts of silica fume. To achieve this, a comprehensive database was compiled from previous experimental studies, containing 240 data points related to CS. The compressive strength values in the database range from 21.1 to 106.6 MPa. The database includes seven independent variables: cement content (359.0–600.0 kg/m3), water‐to‐binder ratio (0.22–0.51), silica fume content (0.0–150.0 kg/m3), fine aggregate content (680.0–1166.0 kg/m3), coarse aggregate content (595.0–1000.0 kg/m3), superplasticizer content (1.5–15.0 kg/m3), and curing time (1–180 days). Four predictive models were developed based on this database: linear regression (LR), multi‐linear regression (MLR), full‐quadratic (FQ), and M5P‐tree models. The data were split, with two‐thirds used for training (160 data points) and one‐third for testing (80 data points). The performance of each model was evaluated using various statistical metrics, including the coefficient of determination (R2), root mean square error (RMSE), mean absolute error (MAE), objective value (OBJ), scatter index (SI), and a‐20 index. The results revealed that the M5P‐tree model was the most accurate and reliable in predicting the compressive strength of SF‐based SCC across a wide range of strength values. Additionally, sensitivity analysis indicated that curing time had the most significant impact on the mixture's properties.

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Role of Silica Fume in Producing High Strength Self-Compacting Concrete

Lokhande

Dindawar

2018

Lecture Notes in Civil Engineering

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Formulation and characterization of self compacting concrete with silica fume

Cited by 12 publications

References 7 publications

Influence of silica fume on the workability and hydration process of ultra-high performance concrete

Influence of silica fume on the workability and hydration process of ultra-high performance concrete

Predictive modeling of compressive strength in silica fume‐modified self‐compacted concrete: A soft computing approach

Role of Silica Fume in Producing High Strength Self-Compacting Concrete

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