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Modelling the Influence of Composition on the Properties of Lightweight Plaster Mortar and Multicriteria Optimisation

The influence of the components of plaster mortars on their properties is considered in a lot of studies at a qualitative level without searching for optimal compositions of these multicomponent composite materials. The purpose of this study was to obtain the experimental–statistical models based on...

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Autores principales: Moskalova, Khrystyna, Lyashenko, Tatiana, Aniskin, Aleksej, Orešković, Matija
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10095683/
https://www.ncbi.nlm.nih.gov/pubmed/37049140
http://dx.doi.org/10.3390/ma16072846
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author Moskalova, Khrystyna
Lyashenko, Tatiana
Aniskin, Aleksej
Orešković, Matija
author_facet Moskalova, Khrystyna
Lyashenko, Tatiana
Aniskin, Aleksej
Orešković, Matija
author_sort Moskalova, Khrystyna
collection PubMed
description The influence of the components of plaster mortars on their properties is considered in a lot of studies at a qualitative level without searching for optimal compositions of these multicomponent composite materials. The purpose of this study was to obtain the experimental–statistical models based on the results of the designed experiment, allowing the influence of light fillers and polymer admixtures on the properties of the mortars to be evaluated and analysed; the compositions complying with specified requirements and compromised optimally by a number of properties should be found. The quantities of fine limestone and perlite as well as of the hydroxyethyl methyl cellulose and dispersible polymer were varied in the experiment. The effective viscosity and thixotropy of the mix, compression, tensile, adhesive strength, frost resistance, and density of hardened mortars were determined for 18 compositions according to the experiment design. The obtained models have allowed the individual and synergetic effects of mix components to be evaluated. The fine perlite has turned out to have the greatest positive effect on the properties. This porous filler increases the strength while decreasing the density of the mortars. It is shown how the composition complying with specified requirements—and the best based on several properties—has been found.
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spelling pubmed-100956832023-04-13 Modelling the Influence of Composition on the Properties of Lightweight Plaster Mortar and Multicriteria Optimisation Moskalova, Khrystyna Lyashenko, Tatiana Aniskin, Aleksej Orešković, Matija Materials (Basel) Article The influence of the components of plaster mortars on their properties is considered in a lot of studies at a qualitative level without searching for optimal compositions of these multicomponent composite materials. The purpose of this study was to obtain the experimental–statistical models based on the results of the designed experiment, allowing the influence of light fillers and polymer admixtures on the properties of the mortars to be evaluated and analysed; the compositions complying with specified requirements and compromised optimally by a number of properties should be found. The quantities of fine limestone and perlite as well as of the hydroxyethyl methyl cellulose and dispersible polymer were varied in the experiment. The effective viscosity and thixotropy of the mix, compression, tensile, adhesive strength, frost resistance, and density of hardened mortars were determined for 18 compositions according to the experiment design. The obtained models have allowed the individual and synergetic effects of mix components to be evaluated. The fine perlite has turned out to have the greatest positive effect on the properties. This porous filler increases the strength while decreasing the density of the mortars. It is shown how the composition complying with specified requirements—and the best based on several properties—has been found. MDPI 2023-04-03 /pmc/articles/PMC10095683/ /pubmed/37049140 http://dx.doi.org/10.3390/ma16072846 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Moskalova, Khrystyna
Lyashenko, Tatiana
Aniskin, Aleksej
Orešković, Matija
Modelling the Influence of Composition on the Properties of Lightweight Plaster Mortar and Multicriteria Optimisation
title Modelling the Influence of Composition on the Properties of Lightweight Plaster Mortar and Multicriteria Optimisation
title_full Modelling the Influence of Composition on the Properties of Lightweight Plaster Mortar and Multicriteria Optimisation
title_fullStr Modelling the Influence of Composition on the Properties of Lightweight Plaster Mortar and Multicriteria Optimisation
title_full_unstemmed Modelling the Influence of Composition on the Properties of Lightweight Plaster Mortar and Multicriteria Optimisation
title_short Modelling the Influence of Composition on the Properties of Lightweight Plaster Mortar and Multicriteria Optimisation
title_sort modelling the influence of composition on the properties of lightweight plaster mortar and multicriteria optimisation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10095683/
https://www.ncbi.nlm.nih.gov/pubmed/37049140
http://dx.doi.org/10.3390/ma16072846
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