Multi-dimensional simulation of LWR fuel behavior in the BISON fuel performance code
Jom, 2016•Springer
Nuclear fuel operates in an extreme environment that induces complex multiphysics
phenomena occurring over distances ranging from inter-atomic spacing to meters, and times
scales ranging from microseconds to years. To simulate this behavior requires a wide variety
of material models that are often complex and nonlinear. The recently developed BISON
code represents a powerful fuel performance simulation tool based on its material and
physical behavior capabilities, finite-element versatility of spatial representation, and use of …
phenomena occurring over distances ranging from inter-atomic spacing to meters, and times
scales ranging from microseconds to years. To simulate this behavior requires a wide variety
of material models that are often complex and nonlinear. The recently developed BISON
code represents a powerful fuel performance simulation tool based on its material and
physical behavior capabilities, finite-element versatility of spatial representation, and use of …
Abstract
Nuclear fuel operates in an extreme environment that induces complex multiphysics phenomena occurring over distances ranging from inter-atomic spacing to meters, and times scales ranging from microseconds to years. To simulate this behavior requires a wide variety of material models that are often complex and nonlinear. The recently developed BISON code represents a powerful fuel performance simulation tool based on its material and physical behavior capabilities, finite-element versatility of spatial representation, and use of parallel computing. The code can operate in full three dimensional (3D) mode, as well as in reduced two dimensional (2D) modes, e.g., axisymmetric radial-axial (R-Z) or plane radial-circumferential (R-θ), to suit the application and to allow treatment of global and local effects. A BISON case study was used to illustrate analysis of Pellet Clad Mechanical Interaction failures from manufacturing defects using combined 2D and 3D analyses. The analysis involved commercial fuel rods and demonstrated successful computation of metrics of interest to fuel failures, including cladding peak hoop stress and strain energy density. In comparison with a failure threshold derived from power ramp tests, results corroborate industry analyses of the root cause of the pellet-clad interaction failures and illustrate the importance of modeling 3D local effects around fuel pellet defects, which can produce complex effects including cold spots in the cladding, stress concentrations, and hot spots in the fuel that can lead to enhanced cladding degradation such as hydriding, oxidation, CRUD formation, and stress corrosion cracking.
Springer
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