|About this Abstract
||Materials Science & Technology 2019
||Materials Issues in Nuclear Waste Management
||Predicting the Density of High-Level Waste Glass Compositions
||Cory L. Trivelpiece, Thomas B. Edwards
|On-Site Speaker (Planned)
||Cory L. Trivelpiece
A model for predicting the density of high-level waste glass has been applied to a database consisting of 340 HLW glass compositions and approximately 700 other glass compositions. The model calculates the specific volume of a glass (at room temperature) as an additive property of the partial molar volumes of the glass’s oxide components. Utilizing the bound molar volume as opposed to the free molar volume of the major glass forming component oxides, the model accurately predicts the specific volume within the bounds of analytical error – that is, a regression of the predicted versus measured density yields a fit with unity slope and zero intercept and an adjusted R2 ≈ 0.95. This presentation will outline the model development and model implementation at the Defense Waste Processing Facility at the Savannah River Site.