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Characterization and modeling the flow behavior and compression strength of the cement paste modified with silica nano-size at different temperature conditions

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TLDR
In this paper, the effect of nano-silica (NS) as an additive to the Ordinary Portland Cement was evaluated and quantified using non-linear regression (NLR) based model.
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This article is published in Construction and Building Materials.The article was published on 2020-10-10. It has received 46 citations till now. The article focuses on the topics: Portland cement & Compressive strength.

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Soft computing techniques: Systematic multiscale models to predict the compressive strength of HVFA concrete based on mix proportions and curing times

TL;DR: In this paper, the compressive strength of concrete mixtures with high volume fly ash (HVFA) has been evaluated and modeled for the LEED (Leadership for Energy and Environmental Design).
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ANN, M5P-tree and nonlinear regression approaches with statistical evaluations to predict the compressive strength of cement-based mortar modified with fly ash

TL;DR: In this paper, the compressive strength of concrete bricks with fly ash incorporation ratio (C and F) and water-to-binder ratio (0.235-1.2), and curing ages (1-365 days) is predicted using a multiscale model.
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Systematic multiscale models to predict the compressive strength of self-compacting concretes modified with nanosilica at different curing ages

TL;DR: In this article, three different models including the linear relationship model (LR), nonlinear model (NLR), and multi-logistic model (MLR) were proposed to predict the compressive strength of SCC mixtures made with or without nano-silica (NS).
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Optimizing the content of nano-SiO2, nano-TiO2 and nano-CaCO3 in Portland cement paste by response surface methodology

TL;DR: In this paper, the effects of nano-SiO2, nano-TiO2 and nano-CaCO3 on the early hydration and mechanical properties of Portland cement at small dosages, and optimizes the dosage of the three nano materials by response surface methodology.
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Systemic multi-scale approaches to predict the flowability at various temperature and mechanical properties of cement paste modified with nano-calcium carbonate

TL;DR: In this article, the effect of nano-calcium carbonate (nano-CaCO3) as an additive to the cement paste was evaluated and quantified, and the nonlinear regressions (NLR) model and Artificial Neural Network (ANN) technical approaches were used for the qualifications of the flow of slurry and stress at the failure of the cement mixture modified with nano-caCO3.
References
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Journal ArticleDOI

Raman and IR investigation of silica nanoparticles structure

TL;DR: In this paper, experimental data regarding the Raman and Infra-Red (IR) absorption activities of commercial silica nanoparticles was reported. But the authors focused on the properties of the surface shell of the nanoparticles.
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Characterizing and Modeling the Mechanical Properties of the Cement Mortar Modified with Fly Ash for Various Water-to-Cement Ratios and Curing Times

TL;DR: In this article, more than 1000 data on the mechanical properties of the cement mortar modified with different percentages of fly ash varying from 5% to 75% were collected from the literature, and statistical analysis and modeling were performed on the collected data.
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Testing and Modeling the Short-Term Behavior of Lime and Fly Ash Treated Sulfate Contaminated CL Soil

TL;DR: In this article, the effects of calcium sulfate contaminated soil treatment methods on the index properties, compacted soil properties, free swelling and compressive stress strain relationship of a CL soil obtained from the field was investigated.
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Smart Cement Compressive Piezoresistive, Stress-Strain, and Strength Behavior with Nanosilica Modification

TL;DR: In this paper, the authors used X-ray diffraction analysis and thermal gravimetric analysis to evaluate the effect of adding up to 1 % silica nanoparticles (NanoSiO2) to smart cement.
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Vipulanandan models to predict the electrical resistivity, rheological properties and compressive stress-strain behavior of oil well cement modified with silica nanoparticles

TL;DR: In this paper, the effect of silica nanoparticles (NS) and temperature on the rheological properties with ultimate shear stress and weight loss of the oil well cement (class H) modified with NS were investigated.
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