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Modeling SAOS Yield Stress of Cement Suspensions: Microstructure-Based Computational Approach

Two static yield stress models, one known as YODEL and the newly proposed BreakPro, based on inter-particle bond breaking probability, were employed to comparatively simulate the yield stress of cement suspensions, induced by oscillatory rheological tests with small amplitude oscillatory shear (SAOS...

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Autores principales: Ukrainczyk, Neven, Thiedeitz, Mareike, Kränkel, Thomas, Koenders, Eddie, Gehlen, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7345906/
https://www.ncbi.nlm.nih.gov/pubmed/32570873
http://dx.doi.org/10.3390/ma13122769
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author Ukrainczyk, Neven
Thiedeitz, Mareike
Kränkel, Thomas
Koenders, Eddie
Gehlen, Christoph
author_facet Ukrainczyk, Neven
Thiedeitz, Mareike
Kränkel, Thomas
Koenders, Eddie
Gehlen, Christoph
author_sort Ukrainczyk, Neven
collection PubMed
description Two static yield stress models, one known as YODEL and the newly proposed BreakPro, based on inter-particle bond breaking probability, were employed to comparatively simulate the yield stress of cement suspensions, induced by oscillatory rheological tests with small amplitude oscillatory shear (SAOS). This yield stress occurs at a critical strain in the order of 0.01%, and is commonly attributed to the limit of the linear viscoelastic domain, where attractive forces bridge the cement particles and form a flocculated particle network. YODEL is based on van der Waals (vdW) interaction forces to describe the yield stress for flow onset at a critical strain of a few percent, developed for simple non-reactive particulate suspensions. However, due to the high pH and reactivity of cementitious suspensions, their particle interaction forces are much higher than vdW. Therefore, until now, the YODEL adaptations to cementitious suspensions did not explicitly consider the microstructural-based salient feature of the original model, but used it as an implicit fitting parameter to scale the average attractive force. In this paper, the force is inversely estimated using the full power of the two microstructural-based models, presenting a new mathematical tool for investigating the fragility of the rigid percolated structure of cement suspensions. The model parameters were calibrated on measured yield stresses obtained by SAOS measurements in a high-sensitivity rheometer. The estimated forces were found to be 5.57 (BreakPro) and 1.43 (YODEL) times higher than typical van der Waals forces. The YODEL percolation threshold of 21% turned out to be significantly lower than the one found by the BreakPro model (37%). This indicated that BreakPro modeling assumptions are better suited for the description of yield stress at SAOS critical strain than the YODEL model.
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spelling pubmed-73459062020-07-09 Modeling SAOS Yield Stress of Cement Suspensions: Microstructure-Based Computational Approach Ukrainczyk, Neven Thiedeitz, Mareike Kränkel, Thomas Koenders, Eddie Gehlen, Christoph Materials (Basel) Article Two static yield stress models, one known as YODEL and the newly proposed BreakPro, based on inter-particle bond breaking probability, were employed to comparatively simulate the yield stress of cement suspensions, induced by oscillatory rheological tests with small amplitude oscillatory shear (SAOS). This yield stress occurs at a critical strain in the order of 0.01%, and is commonly attributed to the limit of the linear viscoelastic domain, where attractive forces bridge the cement particles and form a flocculated particle network. YODEL is based on van der Waals (vdW) interaction forces to describe the yield stress for flow onset at a critical strain of a few percent, developed for simple non-reactive particulate suspensions. However, due to the high pH and reactivity of cementitious suspensions, their particle interaction forces are much higher than vdW. Therefore, until now, the YODEL adaptations to cementitious suspensions did not explicitly consider the microstructural-based salient feature of the original model, but used it as an implicit fitting parameter to scale the average attractive force. In this paper, the force is inversely estimated using the full power of the two microstructural-based models, presenting a new mathematical tool for investigating the fragility of the rigid percolated structure of cement suspensions. The model parameters were calibrated on measured yield stresses obtained by SAOS measurements in a high-sensitivity rheometer. The estimated forces were found to be 5.57 (BreakPro) and 1.43 (YODEL) times higher than typical van der Waals forces. The YODEL percolation threshold of 21% turned out to be significantly lower than the one found by the BreakPro model (37%). This indicated that BreakPro modeling assumptions are better suited for the description of yield stress at SAOS critical strain than the YODEL model. MDPI 2020-06-18 /pmc/articles/PMC7345906/ /pubmed/32570873 http://dx.doi.org/10.3390/ma13122769 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
Ukrainczyk, Neven
Thiedeitz, Mareike
Kränkel, Thomas
Koenders, Eddie
Gehlen, Christoph
Modeling SAOS Yield Stress of Cement Suspensions: Microstructure-Based Computational Approach
title Modeling SAOS Yield Stress of Cement Suspensions: Microstructure-Based Computational Approach
title_full Modeling SAOS Yield Stress of Cement Suspensions: Microstructure-Based Computational Approach
title_fullStr Modeling SAOS Yield Stress of Cement Suspensions: Microstructure-Based Computational Approach
title_full_unstemmed Modeling SAOS Yield Stress of Cement Suspensions: Microstructure-Based Computational Approach
title_short Modeling SAOS Yield Stress of Cement Suspensions: Microstructure-Based Computational Approach
title_sort modeling saos yield stress of cement suspensions: microstructure-based computational approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7345906/
https://www.ncbi.nlm.nih.gov/pubmed/32570873
http://dx.doi.org/10.3390/ma13122769
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