The Establishment of Mathematical Models for the Composition Analysis and Identification of Ancient Glass Products

作者：Jenny Zhang, Ding Li, Yu Xie, Junfeng Xiang · 发表于：Open Journal of Applied Sciences · 年份：2023 · DOI：10.4236/ojapps.2023.1311167 · 研究领域：Cultural Heritage Materials Analysis、Pigment Synthesis and Properties、Remote Sensing and Land Use

Glass is the precious material evidence of the trade of the early Silk Road. The ancient glass was easily affected by the environmental impact and weathering, and the change of composition ratios affected the correct judgment of its category. In this paper, mathematical models and methods such as Chi-square test, weighted average method, principal component analysis, cluster analysis, binary classification model and grey correlation analysis were used comprehensively to analyze the data of sample glass products combined with their categories. The results showed that the weathered high-potassium glass could be divided into 12, 9, 10 and 27, 7, 22 and so on.