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Viscosity, yield stress and compressive strength of cement-based grout modified with polymers

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TLDR
In this paper, two types of polycarboxylate (PCE) polymer (DBC-21 and VK-98) were used as additives in the cement-based grout.
Abstract
In this study, two types of polycarboxylate (PCE) polymer (DBC-21 and VK-98) were used as additives in the cement-based grout. The water-cement ratio (w/c) was fixed to 0.6 and 1.0 ​at temperature of 25° Celsius and 50° Celsius. Experimentalists were conducted to study the chemical composition of the cement-based grout, the mass loss, the rheology behavior, and the compressive strength. Numerical studies were performed to understand the shear strength, rheological properties and compressive strength by taking advantages of numerical models. The results show that the 0.16% PCE polymer additive leads to low cement weight loss at 800° Celsius, drastic increase of apparent and plastic viscosity, and significant improvement of compressive strength. Effects of polymer content, w/c, curing period and the temperature on the rheological properties and compressive strength (CS) of cement-based grout were investigated using a multiple nonlinear regression analysis.

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Journal ArticleDOI

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.
Journal ArticleDOI

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

TL;DR: 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.
Journal ArticleDOI

Microstructure characterizations, thermal properties, yield stress, plastic viscosity and compression strength of cement paste modified with nanosilica

TL;DR: In this article, the effect of nano-silica (NS) as an additive to Ordinary Portland Cement was evaluated and quantified using a non-linear regression (NLR) based model.
Journal ArticleDOI

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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Estimating the efficiency of the sandy soils-cement based grout interactions from Particle size distribution (PSD)

TL;DR: The particle size distribution of the soil fines content and mean particle size (d50) are used in a number of soil property relationships and in the soil classification as mentioned in this paper, which is used to analyze and model partic...
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Vipulanandan Models to Predict the Mechanical Properties, Fracture Toughness, Pulse Velocity and Ultimate Shear Strength of Shale Rocks

TL;DR: In this paper, the authors investigated the correlations between the physical and mechanical properties and geostatistical analysis of the shale rock based on the experimental data and the data collected from various research studies.
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Predictive modelling of the impact of silica nanoparticles on fluid loss of water based drilling mud

TL;DR: In this article, a new model was derived which describes the fluid loss of nanoparticle enhanced water-based drilling mud under static filtration, taking into account the structural kinetics of the bentonite suspension and colloidal behaviour of the nanoparticles.
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Development of Nanofluids for Perdurability in Viscosity Reduction of Extra-Heavy Oils

TL;DR: In this article, the authors developed nanofluids based on different diluent/dispersant ratios (DDR) for extra heavy oil (EHO) viscosity reduction and its perdurability over time.
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