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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).
Journal ArticleDOI

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).
Journal ArticleDOI

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 drilling mud bentonite contents on the fluid loss and filter cake formation on a field clay soil formation compared to the API fluid loss method and characterized using Vipulanandan models

TL;DR: In this paper, the Vipulanandan fluid loss model was compared to the API model and it predicted both short-term and long-term fluid losses very well based on the root mean square error (RMSE).
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Magnetic Field Strength and Temperature Effects on the Behavior of Oil Well Cement Slurry Modified with Iron Oxide Nanoparticles and Quantified with Vipulanandan Models

TL;DR: In this article, the authors investigated the effects of magnetic field strengths and temperatures on the rheological properties of an oil well cement (Class H) modified with iron oxide nanoparticles (NanoFe2O3).
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Effect of nanosilica on the compressive strength development and water absorption properties of cement paste and concrete containing Fly Ash

TL;DR: In this article, the effect of nanosilica (nS) on the properties of cement paste and concrete, especially those containing fly ash (FA), was investigated. And the results demonstrate that the addition of nS accelerated the reactivity of early-age FA-based concrete and increased the strength development of cement mortar and concrete over those without nS.
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Modeling the effect of silica fume on the compressive, tensile strengths and durability of NSC and HSC in various strength ranges

TL;DR: In this article, the effect of silica fume content (SF), water-cement-ratio (w/c) and curing time (t) on the compressive and tensile strengths of concrete at different strength ranges varied from 4 to 100 MPa.
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Regression analysis and Vipulanandan model to quantify the effect of polymers on the plastic and hardened properties with the tensile bonding strength of the cement mortar

TL;DR: In this article, the impact of three different types of polymer on the flowability, consistency, setting time, density and mechanical properties of cement mortar were investigated, and three types of polymers with different percentage up to 0.25% (by dry weight of cement) were used.
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