Robert A Lefebvre
Oak Ridge National Laboratory
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Featured researches published by Robert A Lefebvre.
Nuclear Technology | 2016
Kaushik Banerjee; Kevin R Robb; Georgeta Radulescu; John M Scaglione; John C. Wagner; Justin B Clarity; Robert A Lefebvre; Joshua L. Peterson
Abstract A novel assessment has been completed to determine the unquantified and uncredited safety margins (i.e., the difference between the licensing-basis and as-loaded calculations) available in as-loaded spent nuclear fuel (SNF) casks. This assessment was performed as part of a broader effort to assess issues and uncertainties related to the continued safety of casks during extended storage and transportability following extended storage periods. Detailed analyses crediting the actual as-loaded cask inventory were performed for each of the casks at three decommissioned pressurized water reactor sites to determine their characteristics relative to regulatory safety criteria for criticality, thermal, and shielding performance. These detailed analyses were performed in an automated fashion by employing a comprehensive and integrated data and analysis tool—Used Nuclear Fuel-Storage, Transportation and Disposal Analysis Resource and Data System (UNF-ST&DARDS). Calculated uncredited criticality margins from 0.07 to almost 0.30 Δkeff were observed, calculated decay heat margins ranged from 4 to almost 22 kW (as of 2014), and significant uncredited transportation dose rate margins were also observed. The results demonstrate that at least for the casks analyzed here, significant uncredited safety margins are available that could potentially be used to compensate for SNF assembly and canister structural performance related uncertainties associated with long-term storage and subsequent transportation. The results also suggest that these inherent margins associated with how casks are loaded could support future changes in cask licensing to directly or indirectly credit the margins. Work continues to quantify the uncredited safety margins in the SNF casks loaded at other nuclear reactor sites.
Nuclear Technology | 2017
Robert A Lefebvre; Paul Miller; John M Scaglione; Kaushik Banerjee; Joshua L. Peterson; Georgeta Radulescu; Kevin R Robb; A. B. Thompson; H. Liljenfeldt; J. P. Lefebvre
Abstract To understand the changing nuclear and mechanical characteristics of spent nuclear fuel (SNF) or used nuclear fuel (UNF) and the different storage, transportation, and disposal systems at various stages within the waste management system, different types of analyses are required. These analyses require the use of assorted tools and numerous types of data. Using the appropriate modeling and simulation (M&S) parameters and selecting from the diversity of analytic tools to conduct SNF analyses can be a tedious, error-prone, and time-consuming undertaking for analysts and reviewers alike. A new, integrated data and analysis system was designed to simplify and automate performance of accurate, efficient evaluations for characterizing the input to the overall U.S. nuclear waste management system—the UNF-Storage, Transportation & Disposal Analysis Resource and Data System (UNF-ST&DARDS). A relational database has been assembled to provide a standard means by which UNF-ST&DARDS can succinctly store and retrieve M&S parameters for specific SNF analysis. A library of various analysis model templates is used to communicate M&S parameters for the most appropriate M&S application. A process manager facilitates performance of actual as-loaded, assembly-specific, and cask-specific evaluations. Interactive visualization capabilities facilitate data analysis and results interpretation. To date, UNF-ST&DARDS has completed (1) explicit depletion and decay analysis of every fuel assembly (~245 000) discharged from commercial U.S. reactors through June 2013, with 13 cooling time steps (results include isotopic compositions for 142 isotopes, and radiation and thermal source terms); (2) SNF radiation dose rate evaluations at 1 m for all the fuel assemblies discharged through June 2013; and (3) criticality, shielding, thermal, and containment analyses of hundreds of loaded casks. UNF-ST&DARDS also provides various automated report generation capabilities with dynamic figure and table update capabilities based on changes to the Unified Database.
Nuclear Technology | 2017
Georgeta Radulescu; Kaushik Banerjee; Robert A Lefebvre; L. Paul Miller; John M Scaglione
Abstract The Used Nuclear Fuel Storage, Transportation and Disposal Analysis Resource and Data System (UNF-ST&DARDS) is used to perform dose rate calculations for spent nuclear fuel (SNF) transportation packages based on the actual physical and nuclear characteristics (i.e., assembly design, burnup, initial enrichment, and cooling time) of the as-loaded SNF. Nuclear fuel data, transportation package model templates, and SNF canister loading map information residing within the tool facilitate automated generation of SCALE input files for radiation source term and dose rate calculations. Transportation package specific models developed for UNF-ST&DARDS dose rate analyses are described in detail. UNF-ST&DARDS dose rate analyses were performed for over 400 SNF canisters from 16 sites in their designated transportation casks. For simplicity, representative dose rate calculation results are presented as a function of time (i.e., selected calendar years between 2020 and 2100) for 73 SNF canisters in dry storage at four sites. For these canisters, the projected maximum dose rate values at 2 m from the lateral surfaces of the vehicle under normal conditions of transport (NCT) would vary between 1.9 and 11.5 mrem/h in 2020. Five SNF canisters will exceed the regulatory dose rate limit of 10 mrem/h at 2 m in 2020, and the analyzed SNF canisters will comply with regulatory dose rate limits by 2030. An analysis of the impact on the dose rate of fuel failure and reconfiguration during transportation indicated that the maximum dose rate for hypothetical accident conditions will be unaffected, and the NCT maximum dose rate at 2 m would have a maximum increase by a factor of 1.7 for a representative pressurized water reactor package and by a factor of 2.6 for a representative boiling water reactor package relative to intact fuel. Analysis of the actual heat loading and the dose rate at 2 m from the lateral surface of the vehicle for the five SNF canisters exceeding the NCT regulatory dose rate limit of 10 mrem/h in 2020 showed that the dose rate could be more limiting with respect to regulatory requirements than the heat loading; i.e., the canister transportability date may be evaluated based on the transportation package’s external dose rate.
international conference on conceptual structures | 2013
Jean Utke; Bradley T Rearden; Robert A Lefebvre
Abstract The separation of concerns in the development of numerical models not only leads to a separation into components but, based on their purpose, these components may also be written in different programming languages. The sensitivity analysis of a numerical model provides quantitative information about the dependencies of the model outputs with respect to its inputs. An analysis of mixed-language models using derivatives computed with algorithmic (or automatic) differentiation needs to comprehensively handle all the involved components and the respective interfaces in a mixed-language environment. We describe the issues arising in the context of the sensitivity analysis, present a solution implemented with the algorithmic differentiation tool Rapsodia for C++ and Fortran, and discuss its practical use in a large-scale engineering application.
Nuclear Technology | 2017
Georgeta Radulescu; Kaushik Banerjee; Robert A Lefebvre; L. Paul Miller; John M Scaglione
Abstract The Used Nuclear Fuel-Storage, Transportation & Disposal Analysis Resource and Data System (UNF-ST&DARDS) methodology to perform automated containment analyses for potential transportation packages based on canister loading map information is described, and its capability is illustrated with example results. The allowable leakage rate is calculated with the procedures provided in ANSI N14.5-2014 and NUREG/CR-6487, which were adapted for containment analysis of a transportation package containing fuel assemblies with different nuclear characteristics (e.g., initial enrichment, burnup, and cooling time) and clad integrity (intact or damaged). UNF-ST&DARDS applies different source term calculation methodologies for low-burnup fuel (LBF) (i.e., <45 GWd/tonne U) assemblies and high-burnup fuel (HBF) (i.e., ≥45 GWd/tonne U) assemblies. The LBF radionuclide activities are based on actual fuel assembly burnup, initial enrichment, and cooling time. Bounding radionuclide activities based on a fuel pellet burnup value of 65 GWd/tonne U and actual fuel assembly cooling time are used for HBF assemblies. The fraction of failed fuel rods and the release fractions for the contributors to releasable source terms recommended in NUREG-1617 are used in the containment analysis regardless of fuel assembly burnup. However, UNF-ST&DARDS supports different parameter values for LBF and HBF assemblies. The containment analysis methodology for as-loaded transportation packages is presented in detail, and the UNF-ST&DARDS containment analysis capability is illustrated with results for simulated transportation packages containing spent nuclear fuel canisters in dry storage at selected sites.
Archive | 2013
John M Scaglione; Robert A Lefebvre; Kevin R Robb; Joshua L. Peterson; Harold Adkins; T. E. Michener; Dennis Vinson
Archive | 2014
Matthew Anderson Jessee; William A. Wieselquist; Thomas M. Evans; Steven P. Hamilton; Joshua J Jarrell; Kang Seog Kim; Jordan P Lefebvre; Robert A Lefebvre; Ugur Mertyurek; Adam B. Thompson; Mark L Williams
Archive | 2015
Steve Skutnik; Mark L Williams; Robert A Lefebvre
Archive | 2013
Bradley T Rearden; Michael E Dunn; Dorothea Wiarda; Cihangir Celik; Kursat B. Bekar; Mark L Williams; Douglas E. Peplow; Christopher M. Perfetti; Ian C Gauld; William A. Wieselquist; Jordan P Lefebvre; Robert A Lefebvre; Frantisek Havluj; S. Skutnik; Kevin Dugan
Archive | 2014
John M Scaglione; Kaushik Banerjee; Kevin R Robb; Robert A Lefebvre