AI Article Synopsis

  • Understanding salt mixtures is essential for assessing damage in building materials, which often show signs of deterioration due to salt.
  • The study analyzes a dataset of 11,412 samples from 338 sites, applying charge balance calculations to evaluate ion concentrations of common salts like Na, Cl, and SO.
  • The findings help identify typical salt compositions and theoretical carbonates that affect mixture behavior, providing useful data for thermodynamic modeling.

Article Abstract

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, Ca, Cl, NO, and SO 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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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205874PMC
http://dx.doi.org/10.1038/s41597-022-01445-9DOI Listing

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