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Formulation and Performance of Model Concrete in Reduced-Scale Physical Model Tests
The utility of geotechnical centrifuge tests depends on how correctly they predict the physical and mechanical behaviour of concrete. In this study, a model concrete material that consisted of α-gypsum plaster, fine silica sand, and water was developed. An orthogonal test design was used to evaluate...
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/PMC10488444/ https://www.ncbi.nlm.nih.gov/pubmed/37687482 http://dx.doi.org/10.3390/ma16175784 |
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author | Zheng, Gang Xia, Boyang Zhou, Haizuo Diao, Yu Huang, Jianyou Zhang, Junbo Yu, Xiaoxuan |
author_facet | Zheng, Gang Xia, Boyang Zhou, Haizuo Diao, Yu Huang, Jianyou Zhang, Junbo Yu, Xiaoxuan |
author_sort | Zheng, Gang |
collection | PubMed |
description | The utility of geotechnical centrifuge tests depends on how correctly they predict the physical and mechanical behaviour of concrete. In this study, a model concrete material that consisted of α-gypsum plaster, fine silica sand, and water was developed. An orthogonal test design was used to evaluate the effect of the mix proportion on the model concrete performance. The physical (i.e., flowability and bleeding rate) and mechanical (i.e., compressive and flexural strength) characteristics were considered as indices. Various mix ratios resulted in remarkable relative contributions to model concrete performance, and each raw material dosage exhibited positive or negative synergy. The water–plaster ratio (W/P) and aggregate–plaster ratio (A/P) strongly influenced the mechanical and physical characteristics, respectively. Multiple linear regression analysis (MLRA) was carried out to determine a forecast model for various small-scale test demands. Finally, the applicability and outlines of the presented forecasting method in proportioning design were evaluated by typical use of model concrete in small-scale model tests. |
format | Online Article Text |
id | pubmed-10488444 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104884442023-09-09 Formulation and Performance of Model Concrete in Reduced-Scale Physical Model Tests Zheng, Gang Xia, Boyang Zhou, Haizuo Diao, Yu Huang, Jianyou Zhang, Junbo Yu, Xiaoxuan Materials (Basel) Article The utility of geotechnical centrifuge tests depends on how correctly they predict the physical and mechanical behaviour of concrete. In this study, a model concrete material that consisted of α-gypsum plaster, fine silica sand, and water was developed. An orthogonal test design was used to evaluate the effect of the mix proportion on the model concrete performance. The physical (i.e., flowability and bleeding rate) and mechanical (i.e., compressive and flexural strength) characteristics were considered as indices. Various mix ratios resulted in remarkable relative contributions to model concrete performance, and each raw material dosage exhibited positive or negative synergy. The water–plaster ratio (W/P) and aggregate–plaster ratio (A/P) strongly influenced the mechanical and physical characteristics, respectively. Multiple linear regression analysis (MLRA) was carried out to determine a forecast model for various small-scale test demands. Finally, the applicability and outlines of the presented forecasting method in proportioning design were evaluated by typical use of model concrete in small-scale model tests. MDPI 2023-08-24 /pmc/articles/PMC10488444/ /pubmed/37687482 http://dx.doi.org/10.3390/ma16175784 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 Zheng, Gang Xia, Boyang Zhou, Haizuo Diao, Yu Huang, Jianyou Zhang, Junbo Yu, Xiaoxuan Formulation and Performance of Model Concrete in Reduced-Scale Physical Model Tests |
title | Formulation and Performance of Model Concrete in Reduced-Scale Physical Model Tests |
title_full | Formulation and Performance of Model Concrete in Reduced-Scale Physical Model Tests |
title_fullStr | Formulation and Performance of Model Concrete in Reduced-Scale Physical Model Tests |
title_full_unstemmed | Formulation and Performance of Model Concrete in Reduced-Scale Physical Model Tests |
title_short | Formulation and Performance of Model Concrete in Reduced-Scale Physical Model Tests |
title_sort | formulation and performance of model concrete in reduced-scale physical model tests |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10488444/ https://www.ncbi.nlm.nih.gov/pubmed/37687482 http://dx.doi.org/10.3390/ma16175784 |
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