The International Criticality Safety Benchmark Evaluation Project

Briggs, J. Blair; Scott, Lori; Nouri, Ali

doi:10.13182/nse03-14

Cited by 45 publications

(25 citation statements)

References 2 publications

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“…According to Ref. [42], these high k eff values give an indication that the current lead cross sections have some inaccuracies which could result in more neutron reflection than is warranted by the experimental results. The k eff distribution is the 1st prior distribution obtained by varying 208 Pb nuclear data in the hmf57c1 benchmark (a total of 2700 random ND files were used).…”

Section: St Bayesian Update: Exfor Datamentioning

confidence: 94%

“…In Table 3, the benchmark experiments used for the 2nd update are presented showing the experimental benchmark k eff and the experimental benchmark uncertainty. These benchmarks can be obtained from the International Handbook of Evaluated Criticality Safety Benchmark Experiments (ICSBEP) [42]. From the Table, HMF stands for Highly Enriched Uranium (HEU) Metallic Fast, PMF for Plutonium Metallic Fast, while LCT stands for Low Enriched Uranium (LEU) Compound Thermal benchmarks.…”

Section: Nd Bayesian Update: Using Integral Experimental Datamentioning

confidence: 99%

“…A benchmark case as used in this work (as also used in Ref. [42]), is used to define a series of similar benchmarks where a limited number of parameters (e.g. geometrical parameters) have been varied.…”

Section: Nd Bayesian Update: Using Integral Experimental Datamentioning

confidence: 99%

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Bayesian updating for data adjustments and multi-level uncertainty propagation within Total Monte Carlo

Alhassan

Rochman

Sjöstrand

et al. 2020

Annals of Nuclear Energy

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In this work, a method is proposed for combining differential and integral benchmark experimental data within a Bayesian framework for nuclear data adjustments and multi-level uncertainty propagation using the Total Monte Carlo method. First, input parameters to basic nuclear physics models implemented within the state of the art nuclear reactions code, TALYS, were sampled from uniform distributions and randomly varied to produce a large set of random nuclear data files. Next, a probabilistic data assimilation was carried out by computing the likelihood function for each random nuclear data file based first on only differential experimental data (1st update) and then on integral benchmark data (2nd update). The individual likelihood functions from the two updates were then combined into a global likelihood function which was used for the selection of the final 'best' file. The proposed method has been applied for the adjustment of 208 Pb in the fast neutron energy region below 20 MeV. The 'best' file from the adjustments was compared with available experimental data from the EXFOR database as well as evaluations from the major nuclear data libraries and found to compare favourably.

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Section: St Bayesian Update: Exfor Datamentioning

confidence: 94%

Section: Nd Bayesian Update: Using Integral Experimental Datamentioning

confidence: 99%

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Bayesian updating for data adjustments and multi-level uncertainty propagation within Total Monte Carlo

Alhassan

Rochman

Sjöstrand

et al. 2020

Annals of Nuclear Energy

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“…Each table entry specifies the materials used in the test configuration, measured parameters, associated references, and the status of any benchmarking of the experiments. The International Criticality Safety Benchmarking Evaluation Project (ICSBEP) [Briggs, Scott 2003] has undertaken the task of benchmarking a large number of previously acquired data sets for which sufficient information exists on the precise test configurations. Although not all of the potentially applicable experiments have been benchmarked, some are slated for benchmarking in the near future and some have sufficient information in the corresponding reports to still be of use to the FSP program.…”

Section: Applicable Critical Experimentsmentioning

confidence: 99%

Reactor Testing and Qualification: Prioritized High-level Criticality Testing Needs

Bragg‐Sitton¹,

Bess²,

Werner³

et al. 2011

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“…The project is gathering criticality experiment results worldwide, reviewing and evaluating them, and selecting acceptable results as benchmarks to be registered to the database. 7) In this process, the critical mass measurement with Gd mentioned above was carefully reviewed, and a major inconsistency in documented information of the measurement was revealed. The ICSBEP concluded that the experiment results should not be used as benchmarks.…”

Section: Introductionmentioning

confidence: 99%

Benchmark Critical Experiments of a Heterogeneous System of Uranium Fuel Rods and Uranium Solution Poisoned with Gadolinium, and Application of Their Results to JACS Validation

Tonoike

Miyoshi

Uchiyama

2011

Journal of Nuclear Science and Technology

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A series of critical experiments were performed using heterogeneous cores at the Static Experiment Critical Facility (STACY) of the Japan Atomic Energy Agency (JAEA) in order to obtain systematic benchmark criticality data concerning the dissolving process in reprocessing plants. Focusing on the use of gadolinium as a soluble poison, critical mass was measured for a combination of uranium dioxide fuel rods (5 wt% 235 U) and uranyl nitrate solution (6 wt% 235 U) poisoned with gadolinium (Gd). Fuel rods were arrayed with a 1.5 cm lattice interval in the poisoned fuel solution in a 60-cm-diameter cylindrical tank. The uranium concentration of the solution was roughly kept at about 330 gU/L, and the Gd concentrations were varied up to 0.1 gGd/L. The other series of experiments were also conducted, as reference cases, varying uranium concentration in the fuel solution without Gd. The results provided benchmark criticality data for validation of neutron multiplication factor calculation on heterogeneous systems such as a dissolver. Validation calculation of JACS based on the newly obtained benchmarks supports the justification of its utilization for the criticality safety analysis.

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The International Criticality Safety Benchmark Evaluation Project

Cited by 45 publications

References 2 publications

Bayesian updating for data adjustments and multi-level uncertainty propagation within Total Monte Carlo

Bayesian updating for data adjustments and multi-level uncertainty propagation within Total Monte Carlo

Reactor Testing and Qualification: Prioritized High-level Criticality Testing Needs

Benchmark Critical Experiments of a Heterogeneous System of Uranium Fuel Rods and Uranium Solution Poisoned with Gadolinium, and Application of Their Results to JACS Validation

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