<abstract xmlns="http://www.w3.org/1999/xhtml">

There is a need for simple but precise prediction models for proportioning concrete with manufactured sand, for use in ready-mix concrete production. For the last two decades, the particle-matrix model has been used in Norway for proportioning and prediction of concrete flow based on the properties and proportions of two concrete phases: coarse particles and filler modified cement paste (matrix). This paper presents experimental testing of 117 cement pastes of which 107 contain filler, i.e. particles &lt; 125 microns, from manufactured sand. Based on compositions and properties of ingoing materials in these mixes, an empirical equation is developed that predicts the rheological properties plastic viscosity, yield stress, flow resistance ratio and mini slump flow. Optimization by regression analysis provides a practical microproportioning equation that readily can be used as input in concrete proportioning with the particle-matrix model. The equation provides a coefficient of determination <italic>R2</italic> = 0.98 for plastic viscosity, <italic>R2</italic> = 0.95 for mini slump flow, <italic>R2</italic> = 0.91 for flow resistance ratio and <italic>R2</italic> = 0.80 for yield stress.
</abstract>

There is a need for simple but precise prediction models for proportioning concrete with manufactured sand, for use in ready-mix concrete production. For the last two decades, the particle-matrix model has been used in Norway for proportioning and prediction of concrete flow based on the properties and proportions of two concrete phases: coarse particles and filler modified cement paste (matrix). This paper presents experimental testing of 117 cement pastes of which 107 contain filler, i.e. particles < 125 microns, from manufactured sand. Based on compositions and properties of ingoing materials in these mixes, an empirical equation is developed that predicts the rheological properties plastic viscosity, yield stress, flow resistance ratio and mini slump flow. Optimization by regression analysis provides a practical microproportioning equation that readily can be used as input in concrete proportioning with the particle-matrix model. The equation provides a coefficient of determination R2 = 0.98 for plastic viscosity, R2 = 0.95 for mini slump flow, R2 = 0.91 for flow resistance ratio and R2 = 0.80 for yield stress.

Application of an Improved Empirical Model for Rheology Prediction of Cement Pastes Modified with Filler from Manufactured Sand

M. Sc., Ph.D. candidate, Norwegian University of Science and Technology

Ph.D., Associate Professor, Technical University of Denmark

Ph.D., Professor, Norwegian University of Science and Technology

Nordic Concrete Research

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

There is a need for simple but precise prediction models for proportioning concrete with manufactured sand, for use in ready-mix concrete production. For the...

Application of an Improved Empirical Model for Rheology Prediction of Cement Pastes Modified with Filler from Manufactured Sand

Publié en ligne: 30 déc. 2021

Pages: 1 - 18

Reçu: 26 mars 2021

Accepté: 29 nov. 2021

DOI: https://doi.org/10.2478/ncr-2021-0005

Mots clés
Rheology, empirical model, cement paste, filler, manufactured sand

© 2021 Elisabeth Leite Skare et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Application of an Improved Empirical Model for Rheology Prediction of Cement Pastes Modified with Filler from Manufactured Sand

Publié en ligne: 30 déc. 2021

Pages: 1 - 18

Reçu: 26 mars 2021

Accepté: 29 nov. 2021

DOI: https://doi.org/10.2478/ncr-2021-0005

Mots clésRheology, empirical model, cement paste, filler, manufactured sand

© 2021 Elisabeth Leite Skare et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
Rheology, empirical model, cement paste, filler, manufactured sand