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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10095683 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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