The OFFBEAT multi-dimensional fuel behavior solver

2020 ◽  
Vol 358 ◽  
pp. 110416 ◽  
Author(s):  
Alessandro Scolaro ◽  
Ivor Clifford ◽  
Carlo Fiorina ◽  
Andreas Pautz
Keyword(s):  
2017 ◽  
Author(s):  
David Hurley ◽  
Colby Jensen ◽  
Robert Schley ◽  
Marat Khafizov ◽  
Nirmala Kandadai ◽  
...  

2007 ◽  
Vol 44 (8) ◽  
pp. 1070-1080 ◽  
Author(s):  
Yutaka UDAGAWA ◽  
Motoe SUZUKI ◽  
Toyoshi FUKETA
Keyword(s):  
Mox Fuel ◽  

2008 ◽  
Vol 1 (1) ◽  
pp. 1098-1109 ◽  
Author(s):  
Teppei Ogura ◽  
John P. Angelos ◽  
William H. Green ◽  
Wai K. Cheng ◽  
Thomas E. Kenney ◽  
...  

2017 ◽  
Vol 375 ◽  
pp. 101-113 ◽  
Author(s):  
Sergey Starikov ◽  
Alexey Kuksin ◽  
Daria Smirnova ◽  
Alexey Dolgodvorov ◽  
Vladimir Ozrin

Multiscale computational approach is used to evaluate microscopic parameters for description of nitride nuclear fuel. The results of atomistic simulation and thermodynamic modeling allow to estimate diffusivity and concentrations of point defects at various stoichiometric ratios of UN1+x. The diffusivities of Xe atom were calculated in various equilibrium states. In addition, we obtained the dependence of partial nitrogen pressure on x and temperature. The results of atomistic simulation were used for modeling of nuclear fuel behavior with use of mechanistic fuel codes.


Author(s):  
Alessandro Scolaro ◽  
Ivor Clifford ◽  
Carlo Fiorina ◽  
Andreas Pautz

A new 3D fuel behavior solver is currently under collaborative development at the Laboratory for Reactor Physics and Systems Behaviour of the École Polytechnique Fédérale de Lausanne and at the Paul Scherrer Institut. The long term objective is to enable a more accurate simulation of inherently 3D safety-relevant phenomena which affect the performance of the nuclear fuel. The current implementation is a coupled three-dimensional heat conduction and linear elastic small strain solver, which models the effects of burnup- and temperature dependent material properties, swelling, relocation and gap conductance. The near future developments will include the introduction of a smeared pellet cracking model and of material inleasticities, such as creep and plasticity. After an overview of the theoretical background, equations and models behind the solver, this work focuses on the recent preliminary verification and validation efforts. The radial temperature and stress profiles predicted by the solver for the case of an infinitely long rod are compared against their analytical solution, allowing the verification of the thermo-mechanics equations and of the gap heat transfer model. Then, an axisymmetric model is created for 4 rods belonging to the Halden assembly IFA-432. These models are used to predict the fuel centerline temperature during power ramps recorded at the beginning of life, when the fuel rod performance is still not affected by more complex high burnup effects. Finally, the predictions are compared with the experimental measurements coming from the IFPE database. This first preliminary results allow a careful validation of the temperature-dependent material properties and of the gap conductance models.


2019 ◽  
Vol 5 (2) ◽  
Author(s):  
Martín Lemes ◽  
Alicia Denis ◽  
Alejandro Soba

DIONISIO is a computer code designed to simulate the behavior of one nuclear fuel rod during its permanence within the reactor. Starting from the power history and the external conditions to which the rod is subjected, the code predicts all the meaningful variables of the system. Its application range has been recently extended to include accidental conditions, in particular the so-called loss of coolant accidents (LOCA). In order to make realistic predictions, the conditions in the rod environment have been taken into account since they represent the boundary conditions with which the differential equations describing the fuel phenomena are solved. Without going into the details of the thermal-hydraulic modeling, which is the task of the specific codes, a simplified description of the conditions in the cooling channel during a LOCA event has been developed and incorporated as a subroutine of DIONISIO. This has led to an improvement of the fuel behavior simulation, which is evidenced by the considerable number of comparisons with experiments carried out, many of them reported in this paper. Moreover, this work describes a model of high temperature capture and release of hydrogen in the nuclear fuel cladding, in scenarios typical of LOCA events. The corresponding computational model is being separately tested and will be next included in the DIONISIO thermal-hydraulic module.


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