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Estimation of Lubrication Layer Thickness and Composition through Reverse Engineering of Interface Rheometry Tests

During concrete pumping, a lubrication layer is formed near the pipe wall. Extensive research has been performed on measuring and modeling the properties of this layer and using these values to predict pumping pressures. However, there are numerous discussions in the literature about the composition...

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Autores principales: Salinas, Alexis, Feys, Dimitri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7215645/
https://www.ncbi.nlm.nih.gov/pubmed/32290404
http://dx.doi.org/10.3390/ma13081799
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author Salinas, Alexis
Feys, Dimitri
author_facet Salinas, Alexis
Feys, Dimitri
author_sort Salinas, Alexis
collection PubMed
description During concrete pumping, a lubrication layer is formed near the pipe wall. Extensive research has been performed on measuring and modeling the properties of this layer and using these values to predict pumping pressures. However, there are numerous discussions in the literature about the composition and thickness of this layer: can it be considered mortar, a micromortar, or is it cement paste? In this paper, possible solutions for the thickness and composition of the lubrication layer are derived from interface rheometry tests. It is assumed that the lubrication layer is composed of one or more concentric layers of paste or micromortar. To accomplish this determination, the rheological properties of the composing paste, mortars with different maximum particle sizes and concrete need to be known. Challenges arising from using different rheometers and from the sensitivity of the paste rheology to shearing are addressed in this contribution. The results show that, mathematically, a single layer of homogeneous paste or mortar with different maximum particle sizes can be responsible for the formation of the lubrication layer. Physically, however, the composing material should contain sand particles to some extent, as particle migration is proportional to the size squared. If the literature results from pumping are applicable to the results obtained in this paper, it seems that the lubrication layer is composed of a mortar with a maximum particle size of around 1 to 2 mm.
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spelling pubmed-72156452020-05-22 Estimation of Lubrication Layer Thickness and Composition through Reverse Engineering of Interface Rheometry Tests Salinas, Alexis Feys, Dimitri Materials (Basel) Article During concrete pumping, a lubrication layer is formed near the pipe wall. Extensive research has been performed on measuring and modeling the properties of this layer and using these values to predict pumping pressures. However, there are numerous discussions in the literature about the composition and thickness of this layer: can it be considered mortar, a micromortar, or is it cement paste? In this paper, possible solutions for the thickness and composition of the lubrication layer are derived from interface rheometry tests. It is assumed that the lubrication layer is composed of one or more concentric layers of paste or micromortar. To accomplish this determination, the rheological properties of the composing paste, mortars with different maximum particle sizes and concrete need to be known. Challenges arising from using different rheometers and from the sensitivity of the paste rheology to shearing are addressed in this contribution. The results show that, mathematically, a single layer of homogeneous paste or mortar with different maximum particle sizes can be responsible for the formation of the lubrication layer. Physically, however, the composing material should contain sand particles to some extent, as particle migration is proportional to the size squared. If the literature results from pumping are applicable to the results obtained in this paper, it seems that the lubrication layer is composed of a mortar with a maximum particle size of around 1 to 2 mm. MDPI 2020-04-11 /pmc/articles/PMC7215645/ /pubmed/32290404 http://dx.doi.org/10.3390/ma13081799 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Salinas, Alexis
Feys, Dimitri
Estimation of Lubrication Layer Thickness and Composition through Reverse Engineering of Interface Rheometry Tests
title Estimation of Lubrication Layer Thickness and Composition through Reverse Engineering of Interface Rheometry Tests
title_full Estimation of Lubrication Layer Thickness and Composition through Reverse Engineering of Interface Rheometry Tests
title_fullStr Estimation of Lubrication Layer Thickness and Composition through Reverse Engineering of Interface Rheometry Tests
title_full_unstemmed Estimation of Lubrication Layer Thickness and Composition through Reverse Engineering of Interface Rheometry Tests
title_short Estimation of Lubrication Layer Thickness and Composition through Reverse Engineering of Interface Rheometry Tests
title_sort estimation of lubrication layer thickness and composition through reverse engineering of interface rheometry tests
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7215645/
https://www.ncbi.nlm.nih.gov/pubmed/32290404
http://dx.doi.org/10.3390/ma13081799
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