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Modelling the Relations of Rheological Characteristics with Composition of Plaster Mortar (CROSBI ID 317286)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Moskalova, Khrystyna ; Lyashenko, Tatiana ; Aniskin, Aleksej Modelling the Relations of Rheological Characteristics with Composition of Plaster Mortar // Materials, 15 (2022), 1; 15010371, 15. doi: 10.3390/ma15010371

Podaci o odgovornosti

Moskalova, Khrystyna ; Lyashenko, Tatiana ; Aniskin, Aleksej

engleski

Modelling the Relations of Rheological Characteristics with Composition of Plaster Mortar

The rheological properties of fresh plaster mortars, with varied contents of porous fillers and polymer admixtures, have been studied. The quantities of fine limestone and expanded perlite, and dosages of methyl hydroxy ethyl cellulose and ethylene vinyl acetate were varied in the experiment. Effective viscosity (at a shear rate from 0.045 to 5.705 s−1) and the thixotropy of the mixes were determined with rotational viscometer for 18 compositions (according to the design of the experiment). Each of the 18 viscosity curves were described with the Ostwald–de-Waele equation. The Experimental–Statistical models describing the dependencies of the parameters of the rheological model and of mix thixotropy on the composition factors were built on the obtained data. ES-models have allowed the individual and synergetic effects of mix components on the rheological characteristics to be evaluated. The expanded perlite powder can increase the viscosity by two times, probably due to its pozzolanic effect increasing the content of the CSH phase during cement hydration. The thixotropy can be increased by the quantity of limestone. The computational experiments with ES-models have made it possible for the information set, without a noticeable interrelation between rheological characteristics, to be stratified into subsets, in which such interrelations differ significantly.

plaster mix ; viscosity ; thixotropy ; design of experiment ; Ostwald–de-Waele model ; experimental-statistical model ; effects of composition ; computational experiment ; correlation

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Podaci o izdanju

15 (1)

2022.

15010371

15

objavljeno

1996-1944

10.3390/ma15010371

Povezanost rada

Građevinarstvo, Interdisciplinarne tehničke znanosti, Temeljne tehničke znanosti

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