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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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Vipulanandan failure models to predict the tensile strength, compressive modulus, fracture toughness and ultimate shear strength of calcium rocks

TL;DR: In this paper, over 1000 data from the literature were used to characterize and compare the density, strengths, modulus, fracture toughness, porosity and the ultimate shear strengths of the calcium.
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Statistical Variations and New Correlation Models to Predict the Mechanical Behavior and Ultimate Shear Strength of Gypsum Rock

Ahmed Mohammed, +1 more
- 11 Aug 2018 - 
TL;DR: In this article, over 1000 data from the several research studies was used to characterize and compare the density, strengths, modulus, flexural strength, porosity and the ultimate shear strengths of the calcium rocks.
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Viscosity, yield stress and compressive strength of cement-based grout modified with polymers

TL;DR: In this paper, two types of polycarboxylate (PCE) polymer (DBC-21 and VK-98) were used as additives in the cement-based grout.
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Influence of olivine nano-silica on hydration and performance of oil-well cement slurries

TL;DR: In this article, the influence of nano-silica obtained from the dissolution of olivine (OnS) as an additive in cementitious slurries for oil and gas wells is examined by isothermal calorimetry.
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Nano Silicon from Nano Silica Using Natural Resource (Rha) for Solar Cell Fabrication

TL;DR: In this article, high purity nano silica with an average particle size of ∼100nm was extracted at pH 3 at 650°C from a natural resource, rice husk, using alkaline extraction followed by acid precipitation method.
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