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A collection of three-dimensional datasets of hydrating cement paste
This dataset contains a collection of digitized three-dimensional hardened cement paste microstructures obtained from X-ray micro-computed tomography. Four sets of ordinary Portland cement-based pastes were produced and X-ray screened, varying in the initial water-to-cement ratio (wcr=0.35 and 0.50)...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876826/ https://www.ncbi.nlm.nih.gov/pubmed/36710915 http://dx.doi.org/10.1016/j.dib.2023.108903 |
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author | Hlobil, Michal Kumpová, Ivana |
author_facet | Hlobil, Michal Kumpová, Ivana |
author_sort | Hlobil, Michal |
collection | PubMed |
description | This dataset contains a collection of digitized three-dimensional hardened cement paste microstructures obtained from X-ray micro-computed tomography. Four sets of ordinary Portland cement-based pastes were produced and X-ray screened, varying in the initial water-to-cement ratio (wcr=0.35 and 0.50) and fineness of cement used (391 and 273 m(2)/kg Blaine). Individual paste samples from each set were screened after 1, 2, 3, 4, 7, 14, and 28 days of elapsed hydration at 20˚C in saturated conditions. Each digitized paste specimen captures a realistic spatial configuration of the principal microstructural phases (anhydrous cement, hydration products, and large capillary porosity). The dataset may be further used for assessing changes in the mix design on the resultant spatial configuration of the paste microstructure or aid the development of microstructure-inspired micromechanical models based on realistic material configuration. |
format | Online Article Text |
id | pubmed-9876826 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-98768262023-01-27 A collection of three-dimensional datasets of hydrating cement paste Hlobil, Michal Kumpová, Ivana Data Brief Data Article This dataset contains a collection of digitized three-dimensional hardened cement paste microstructures obtained from X-ray micro-computed tomography. Four sets of ordinary Portland cement-based pastes were produced and X-ray screened, varying in the initial water-to-cement ratio (wcr=0.35 and 0.50) and fineness of cement used (391 and 273 m(2)/kg Blaine). Individual paste samples from each set were screened after 1, 2, 3, 4, 7, 14, and 28 days of elapsed hydration at 20˚C in saturated conditions. Each digitized paste specimen captures a realistic spatial configuration of the principal microstructural phases (anhydrous cement, hydration products, and large capillary porosity). The dataset may be further used for assessing changes in the mix design on the resultant spatial configuration of the paste microstructure or aid the development of microstructure-inspired micromechanical models based on realistic material configuration. Elsevier 2023-01-13 /pmc/articles/PMC9876826/ /pubmed/36710915 http://dx.doi.org/10.1016/j.dib.2023.108903 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Hlobil, Michal Kumpová, Ivana A collection of three-dimensional datasets of hydrating cement paste |
title | A collection of three-dimensional datasets of hydrating cement paste |
title_full | A collection of three-dimensional datasets of hydrating cement paste |
title_fullStr | A collection of three-dimensional datasets of hydrating cement paste |
title_full_unstemmed | A collection of three-dimensional datasets of hydrating cement paste |
title_short | A collection of three-dimensional datasets of hydrating cement paste |
title_sort | collection of three-dimensional datasets of hydrating cement paste |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876826/ https://www.ncbi.nlm.nih.gov/pubmed/36710915 http://dx.doi.org/10.1016/j.dib.2023.108903 |
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