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Program - Brookhaven National Laboratory

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Vasiliev, W. Wieselquist and H. Ferroukhi,”Stochastic Sampling Method with MCNPX for Nuclear Data<br />

Uncertainty Propagation in Criticality Safety Application”, PHYSOR 2012, Knoxville, USA, April 15-20,<br />

2012, American Nuclear Society (2012)<br />

PR 135<br />

Validation of Evaluated Nuclear Data Libraries for Calculation of Fast Reactors<br />

T. Ivanova, E. Ivanov, W. Haeck, Institut de Radioprotection et de Surete Nucleaire.<br />

Given that integral data plays a key role in the validation of neutronics simulations for safety assessment,<br />

a collection of integral benchmarks is being created at IRSN. It includes measurements of Keff , reactivity<br />

coefficients, βeff , reaction rates, power distributions and other reactor-type parameters for dozens of configurations<br />

which originate mostly from the Handbook of the International Reactor Physics Experiment<br />

Evaluation Project (IRPhEP Handbook). For fast reactor neutronics code validation, the benchmarks<br />

are selected from independent facilities in a way to cover a range of plutonium enrichments, 240Pu contents,<br />

core sizes and diluents. The collection includes ZEBRA-22, ZEBRA-23, ZEBRA-24, ZEBRA-25,<br />

MZA, MZB, ZPR-6/7-12, ZPR-6/7-99, SNEAK-7A, SNEAK-7B, BFS-62.3a, Joyo and other fast benchmarks.<br />

For the purpose of validation, it is important to ensure that the uncertainties for the benchmark<br />

experiments are well evaluated and correlations between the uncertainties are well established. Previous<br />

studies demonstrate that the experimental correlations may not be negligible in a validation study. The<br />

correlations between the experimental uncertainties (also called experiment correlations) arise from the<br />

use of the same fuel and structural materials, the same container tank or cladding, and common methods<br />

for measurements and instrumentation. The efforts are being mounted at IRSN to identify, quantify<br />

and document the experimental correlations for the selected fast benchmarks. JEFF-3.1, ENDF/B-VI.8,<br />

ENDF/B-VII.0 and ENDF/B-VII.1 libraries will be validated against the above benchmarks computed<br />

with MCNP. The validation study will be performed with and without the experimental correlations. The<br />

full paper will describe the validation method. The validation results will be presented and analyzed in<br />

order to understand how the advances in new libraries improve performance in integral validation reactortype<br />

benchmark tests. The analysis will be supported by Keff sensitivities to nuclear data calculated with<br />

SCALE TSUNAMI-3D sequence for some benchmarks.<br />

Corresponding author: Ivanova Tatiana<br />

PR 136<br />

Testing of Neutron Data for Fe, Cr, Ni based on Integral Experiments<br />

Vladimir Koscheev, Gennady Manturov, Mikhael Semenov, Anatoly Tsibouliya, Institute for Physics and<br />

Power Engineering, Bondarenko Square 1, Obninsk 244033, Kaluga Region, Russia.<br />

In this work the modern state of evaluated nuclear data for structure materials Fe, Cr, Ni is given based on<br />

comparison of data from RUSFOND files and some others. Calculations of criticality parameter, spectral<br />

indices and fission rates for a set of selected fast uranium and plutonium benchmark systems from ICS-<br />

BEP Handbook are fulfilled and comparison with experimental data was made. All calculations were made<br />

by Monte-Carlo codes using different nuclear data libraries for both ABBN 299-grouped and continuous<br />

energy cross-sections. The data are compared to the results obtained using the previous group data set<br />

ABBN-93 too.<br />

Corresponding author: Genndy Manturov<br />

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