@article{CHEN2022, 
author = {Zekun CHEN and Liyan ZHANG},
title = {Statistical Structure Modeling for Thermal Properties and Chemical Stability of Borosilicate Glass Wasteforms with High Level Radioactive Waste},
year = {2022},
journal = {Journal of the Chinese Ceramic Society},
volume = {50},
number = {5},
pages = {1301-1309},
keywords = {high-level liquid waste, vitrification, borosilicate glasses, thermal properties, chemical stability, statistical structure modeling},
url = {https://www.sciopen.com/article/10.14062/j.issn.0454-5648.20210816},
doi = {10.14062/j.issn.0454-5648.20210816},
abstract = {Statistical structure modeling can help to establish the glass formulation design models to meet the vitrification requirements of different types of high-level waste liquids due to its advantages of high efficiency and accuracy. Taking the glass transition temperature Tg, thermal expansion coefficient α and element leaching rate of Li, Na, B as target properties, we utilized a statistical structure simulation method for the development of nuclear waste glass curing formula. The results show that Tg, α and chemical stability of the glasses can be well simulated with the statistical structural data. It is also indicated that the data predicted by the model are in a reasonable agreement with the measured results at a simulation desirability 0.94. Statistical structure modeling can assist to establish the formula database of the high-level liquid waste vitrification.}
}