Literature DB >> 33672935

A Rheological Model for Evaluating the Behavior of Shear Thickening of Highly Flowable Mortar.

Mengyuan Li1, Jianguo Han1, Yuqi Zhou1,2, Peiyu Yan1.   

Abstract

Neither the modified Bingham model nor the Herschel-Bulkley model can be used to characterize and calculate the performance of shear thickening of highly flowable mortar because of their incalculability of the rheological parameters. A new exponential rheological model was established to solve the characterization and calculation of shear thickening of the lubrication layer (highly flowable mortar) during the pumping of concrete in this paper. This new exponential rheological model has three rheological parameters, namely, yield stress, consistency coefficient, and consistency exponent. They can quantitatively describe the yield stress, differential viscosity, and shear thickening degree of highly flowable mortar. The calculating results of the rheological parameters of the newly established model for the mortars with different compositions showed that the consistency exponent of mortar decreased with the increase of its sand-binder ratio or the dosage of fly ash in the binder. This indicates that the shear thickening degree of mortar decreases. The consistency exponent of mortar initially decreases and subsequently increases with the increase in silica fume content or the dosage of the superplasticizer. It illustrates that the degree of the shear thickening of mortar initially decreased and subsequently increased. These varying patterns were confirmed by the rheological experiment of mortars.

Entities:  

Keywords:  consistency exponent; differential viscosity; exponential rheological model; highly flowable mortar; shear thickening; yield stress

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Year:  2021        PMID: 33672935      PMCID: PMC7917666          DOI: 10.3390/molecules26041011

Source DB:  PubMed          Journal:  Molecules        ISSN: 1420-3049            Impact factor:   4.411


  3 in total

1.  Constitutive Model for Time-Dependent Flows of Shear-Thickening Suspensions.

Authors:  J J J Gillissen; C Ness; J D Peterson; H J Wilson; M E Cates
Journal:  Phys Rev Lett       Date:  2019-11-22       Impact factor: 9.161

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

Authors:  Alexis Salinas; Dimitri Feys
Journal:  Materials (Basel)       Date:  2020-04-11       Impact factor: 3.623

  3 in total

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