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Charge balance calculations for mixed salt systems applied to a large dataset from the built environment

Understanding salt mixtures in the built environment is crucial to evaluate damage phenomena. This contribution presents charge balance calculations applied to a dataset of 11412 samples taken from 338 sites, building materials showing signs of salt deterioration. Each sample includes ion concentrat...

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Autores principales: Godts, Sebastiaan, Steiger, Michael, Orr, Scott Allan, De Kock, Tim, Desarnaud, Julie, De Clercq, Hilde, Cnudde, Veerle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205874/
https://www.ncbi.nlm.nih.gov/pubmed/35715411
http://dx.doi.org/10.1038/s41597-022-01445-9
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author Godts, Sebastiaan
Steiger, Michael
Orr, Scott Allan
De Kock, Tim
Desarnaud, Julie
De Clercq, Hilde
Cnudde, Veerle
author_facet Godts, Sebastiaan
Steiger, Michael
Orr, Scott Allan
De Kock, Tim
Desarnaud, Julie
De Clercq, Hilde
Cnudde, Veerle
author_sort Godts, Sebastiaan
collection PubMed
description Understanding salt mixtures in the built environment is crucial to evaluate damage phenomena. This contribution presents charge balance calculations applied to a dataset of 11412 samples taken from 338 sites, building materials showing signs of salt deterioration. Each sample includes ion concentrations of Na(+), K(+), Mg(2+), Ca(2+), Cl(−), NO(3)(−), and SO(4)(2−) adjusted to reach charge balance for data evaluation. The calculation procedure follows two distinct pathways: i) an equal adjustment of all ions, ii) adjustments to the cations in sequence related to the solubility of the theoretical solids. The procedure applied to the dataset illustrates the quantification of salt mixture compositions and highlights the extent of adjustments applied in relation to the sample mass to aid interpretation. The data analysis allows the identification of theoretical carbonates that could influence the mixture behavior. Applying the charge balance calculations to the dataset validated common ions found in the built environment and the identification of three typical mixture compositions. Additionally, the data can be used as direct input for thermodynamic modeling.
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spelling pubmed-92058742022-06-19 Charge balance calculations for mixed salt systems applied to a large dataset from the built environment Godts, Sebastiaan Steiger, Michael Orr, Scott Allan De Kock, Tim Desarnaud, Julie De Clercq, Hilde Cnudde, Veerle Sci Data Data Descriptor Understanding salt mixtures in the built environment is crucial to evaluate damage phenomena. This contribution presents charge balance calculations applied to a dataset of 11412 samples taken from 338 sites, building materials showing signs of salt deterioration. Each sample includes ion concentrations of Na(+), K(+), Mg(2+), Ca(2+), Cl(−), NO(3)(−), and SO(4)(2−) adjusted to reach charge balance for data evaluation. The calculation procedure follows two distinct pathways: i) an equal adjustment of all ions, ii) adjustments to the cations in sequence related to the solubility of the theoretical solids. The procedure applied to the dataset illustrates the quantification of salt mixture compositions and highlights the extent of adjustments applied in relation to the sample mass to aid interpretation. The data analysis allows the identification of theoretical carbonates that could influence the mixture behavior. Applying the charge balance calculations to the dataset validated common ions found in the built environment and the identification of three typical mixture compositions. Additionally, the data can be used as direct input for thermodynamic modeling. Nature Publishing Group UK 2022-06-17 /pmc/articles/PMC9205874/ /pubmed/35715411 http://dx.doi.org/10.1038/s41597-022-01445-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Godts, Sebastiaan
Steiger, Michael
Orr, Scott Allan
De Kock, Tim
Desarnaud, Julie
De Clercq, Hilde
Cnudde, Veerle
Charge balance calculations for mixed salt systems applied to a large dataset from the built environment
title Charge balance calculations for mixed salt systems applied to a large dataset from the built environment
title_full Charge balance calculations for mixed salt systems applied to a large dataset from the built environment
title_fullStr Charge balance calculations for mixed salt systems applied to a large dataset from the built environment
title_full_unstemmed Charge balance calculations for mixed salt systems applied to a large dataset from the built environment
title_short Charge balance calculations for mixed salt systems applied to a large dataset from the built environment
title_sort charge balance calculations for mixed salt systems applied to a large dataset from the built environment
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205874/
https://www.ncbi.nlm.nih.gov/pubmed/35715411
http://dx.doi.org/10.1038/s41597-022-01445-9
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