A computational model for molten corium spreading and solidification. (15th January 2019)

• Record Type: Journal Article
• Authors: Kucala, Alec; Rao, Rekha; Erickson, Lindsay
• Is Part Of: Computers & fluids. Volume 178(2019)
• Page Start: 1
• Page End: 14
• Publication Date: 2019-01-15
• Subjects: Corium -- SUPG -- CVFEM -- CDFEM -- Psuedo-solidification -- Nuclear accident; Fluid dynamics -- Data processing -- Periodicals; 532.050285
• DOI: 10.1016/j.compfluid.2018.11.009
• Languages: English
• ISSNs: 0045-7930

Abstract

Highlights: Conformal mapping is effective in tracking the corium melt/air interface. Upwinding is effective in stabilizing advection terms in high Peclet number flows. Temperature dependent viscosity model is effective in predicting melt solidification. Good agreement with previous experimental data. Abstract: When the core is breached during a severe nuclear accident, a molten mixture of nuclear fuel, cladding, and structural supports is discharged from the reactor vessel. This molten mixture of ceramic and metal is often referred to as "corium". Predicting the flow and solidification of corium poses challenges for numerical models due to the presence of large Peclet numbers when convective transport dominates the physics. Here, we utilize a control volume finite-element method (CVEM) discretization to stabilize the advection dominated flow and heat transport. This CVFEM approach is coupled with the conformal decomposition finite-element method (CDFEM), which tracks the corium/air interface on an existing background mesh. CDFEM is a sharp-interface method, allowing the direct discretization of the corium front. This CVFEM-CDFEM approach is used to model the spreading of molten corium in both two- and three-dimensions. The CVFEM approach is briefly motivated in a comparison with a streamwise upwind/Petrov-Galerkin (SUPG) stabilized finite-element method, which was not able to suppress spurious temperature oscillations in the simulations. Our model is compared directly with the FARO L26 corium spreading experiments and with previous numerical simulations, showing both quantitative and qualitative agreement with those studies.