Analysis and Identification of the Composition of Ancient Glass Articles

Abstract

The composition analysis and identification of ancient glass products are of great significance to archaeology and cultural relics protection. Because ancient glass is easily affected by the environment in the burial process of weathering, its chemical composition will change, thus affecting the accurate judgment of its type. Therefore, this paper proposes a method of analyzing and identifying the composition of ancient glass products. According to the network open data set, this paper first use the chi-square test to study the relationship between the surface weathering of glass relics and its type, pattern and color, and then use the variance analysis to study the change of chemical composition before and after weathering, finally using the distribution matching combined with Bootstrap interval prediction method, interval prediction according to the weathering point data, the mean and 90% confidence interval of 10000 resampling prediction results as reference results. Finally, this study revealed that the surface weathering of cultural relics is significantly related to the type, and the composition change law of lead-barium and high-potassium glass after weathering, and proposed an effective composition prediction method, which provides a scientific basis for the restoration and identification of cultural relics.