Izvestiya vuzov. Yadernaya Energetika

The peer-reviewed scientific and technology journal. ISSN: 0204-3327

Detailed simulation of winfrith IRON 88 benchmark (ASPIS) IN (r, z)- and (x, y, z)-geometries

9/30/2019 2019 - #03 Modelling processes at nuclear facilities

Nikolaeva O.V. Gaifulin S.A. Bass L.P.

DOI: https://doi.org/10.26583/npe.2019.3.12

UDC: 519.6

We present results of simulation of the well-known experiment Iron 88 of database SINBAD. Rates of reactions 32S (n, p) 32P, 115In (n, n′) 115mIn, 103Rh (n, n′) 103mRh, 27Al (n, α) 24Na and 197Au (n, γ) 198Au have been measured in this experiment. The main difficulty is simulation of gold activation, as the detectors and their covers (cadmium) influence significantly on neutron flux.

We present the gold reaction simulation results as detectors and covers are specified by means of spatial grids. We simulate the experiment in both the two-dimensional (r, z)-geometry and the three-dimensional (x, y, z)-geometry. In last case we use a unstructured tetrahedral grid to specify detectors. We use neutron flux in cells forming detectors to find the gold reaction rate. We apply the multigroup cross-section libraries ENDFB-VII, ABBN-93, ABBN-RF in computations. The rest (threshold) reactions are simulated no taking into account detectors.

It is shown, that results of simulation of threshold reaction rates in different geometries with different cross-section libraries are agreed with each other and experimental data well. Results of simulation of the gold reaction are agreed with experimental data only when detectors and covers are taken into account via a spatial grid and three-dimensional (x, y, z)-geometry is used.

Simulation of gold foil activation in the Iron 88 benchmark should take into account influence of detectors on neutron flux.

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Iron 88 benchmark reactor rates experiment simulation tetrahedral grids parallel computations multigroup cross sections

Link for citing the article: Nikolaeva O.V., Gaifulin S.A., Bass L.P. Detailed simulation of winfrith IRON 88 benchmark (ASPIS) IN (r, z)- and (x, y, z)-geometries. Izvestiya vuzov. Yadernaya Energetika. 2019, no. 3, pp. 135-147; DOI: https://doi.org/10.26583/npe.2019.3.12 (in Russian).