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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.
Journal ArticleDOI

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

Effect of Nanosilica on the Fresh Properties of Cement-Based Grouting Material in the Portland-Sulphoaluminate Composite System

TL;DR: In this article, the effect of particle size and content on the fresh properties of the grouting material based on the portland-sulphoaluminate composite system was analyzed.
Journal Article

Rheological Properties of Low pH Cement-Palygorskite Injection Grout

TL;DR: In this article, the rheological properties of cementitious materials containing fine particles, such as mineral admixture were investigated using a Viso Star-L rheometer with cylindrical spindles.
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Predicting mechanical properties and ultimate shear strength of gypsum, limestone and sandstone rocks using Vipulanandan models

TL;DR: In this paper, over 1000 data from the literature was used to characterize and compare the density, strengths, modulus, fracture toughness, porosity and the ultimate shear strengths of the gypsum,...
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Influence of amorfous nano-silica addition on properties of fresh cement paste and hardened cement mortar

TL;DR: In this article, the authors explored the effect of incorporating amorphous nano-silica (NS) to local cement and found that adding NS enhance compressive and flexural strength, especially at early ages.
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