Analysis and identification of glass relics
DOI:
https://doi.org/10.54097/hset.v21i.3170Keywords:
Glass relics;Composition and identification;Regression model;Statistical analysis;Grey incidence matrix.Abstract
To study the composition and identification of glass relics, the identification model is established using a regression model, statistical analysis, and a grey correlation matrix. Firstly, the chemical composition content of cultural relics before weathering is analyzed. Secondly, the classification of glass relics is obtained. Finally, the differences in the chemical composition of glass products are analyzed. The results show that: (1) there are more correlations among the chemical components in high potassium glass, and the correlation between potassium oxide, magnesium oxide, alumina, iron oxide, and copper oxide is closed. (2) Potassium oxide, magnesium oxide, alumina, and iron oxide in lead barium glass are more closely related to calcium oxide.
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