EDN: QBGNHJ
Authors & Affiliations
Arkhangelsky D.M., Bikeev A.S., Daichenkova Yu.S., Kalugin M.A., Oleynik D.S., Shkarovsky D.A.
National research center «Kurchatov institute», Moscow, Russia
Arkhangelsky D.M. – Laboratory Assistant. Contacts: 2, Moskvorechye, Moscow, Russia, 115522. Tel.: +7 (961) 643-61-95; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it..
Bikeev A.S. – Head of the laboratory, Cand. Sci. (Tech.).
Daichenkova Yu.S. – Junior Researcher.
Kalugin M.A. – Deputy Head of the
Complex for Scientific Work, Dr. Sci. (Tech.).
Oleynik D.S. – Head of Laboratory.
Shkarovsky D.A. – Head of the Department, Dr. Sci. (Phys. – Math.).
Abstract
In this paper, the effect of taking into account the neutron importance function on the accuracy of calculating neutron kinetics functionals depending on the parameters of light-water critical facilities, such as geometric dimensions, the degree of fuel enrichment and the concentration of boric acid in the moderator, was considered. Based on the created computational models, 12 experiments from the ICSBEP handbook are examined. The result of the conducted research in the form of estimations corrections is considered in the article.
Analysis of the results showed that an increase in the concentration of boric acid reduces the influence of the importance function due to a decrease in the neutron-breeding properties of the medium. On the contrary, an increase in enrichment leads to a growth of importance function influence on the accuracy of obtaining estimates. The dependence of the generation time estimation correction is non-monotonic. The growth of the function caused by an increase in difference in importance between neutrons in the center and on the periphery of the assembly is replaced by a decrease due to a reduction in the probability of a neutron falling from the center to the perephery of the assembly.
Thus, taking into account the importance function is necessary in relatively small systems with good neutron-breeding properties.
Keywords
Monte-Carlo method, MCU, kinetics functionals, neutron kinetics, delayed neutrons, generation time, neutron value, critical facility, experiment, numerical simulation
Article Text (PDF, in Russian)
References
1. Kalugin M.A., Oleynik D.S., Shkarovsky D.A. Overview of the MCU Monte Carlo Software Package. Annals of Nuclear Energy, 2015, vol. 82, pp. 54–62. DOI: https://doi.org/10.1016/j.anucene.2014.08.032.
2. Kalugin M.A., Oleynik D.S., Shkarovsky D.A. Adaptatciia programmy MCU-PD k parallelnym vychisleniiam na mnogoprotcessornykh kompiuterakh [Adaptation of the MCU-PD program to parallel computing on multiprocessor computers.]. Voprosy atomnoi nauki i tekhniki. Ser. Fizika iadernykh reaktorov – Problems of Atomic Science and Technology. Series: Physics of Nuclear Reactor, 2009, no. 4, pp. 66–77.
3. Gurevich M.I., Kalugin M.A., Oleynik D.S., Shkarovsky D.A. Estimation of some neutron physics characteristics by Monte-Carlo method using the importance function. Annals of Nuclear Energy, 2019, vol. 130, pp. 388–393. DOI: https://doi.org/10.1016/j.anucene.2019.02.047.
4. Arkhangelsky D.M., Daichenkova Yu.S., Kalugin M.A., Oleynik D.S., Shkarovsky D.A. Vliianie detalizatcii funktcii tcennosti na tochnost rascheta funktcionalov neitronnoi kinetiki v vodo-vodianykh kriticheskikh sborkakh metodom Monte-Karlo [The effect of the importance function resolution on the accuracy of the calculation of neutron kinetics functionals in water-water critical assemblies by the Monte Carlo method]. Sbornik tezisov XVII mezhdunarodnoi nauchno-prakticheskoi konferentcii “Budushchee atomnoi energetiki – AtomFuture 2021” [Proc. of the XVII International Scientific and Practical Conference “The Future of Nuclear Energy – AtomFuture 2021”]. Russia, Obninsk, 2021, pp. 5–7.
5. International Handbook of Evaluated Criticality Safety Benchmark Experiments, NEA/NSC/DOC(95)03, 2002.
6. Zolotukhin V.G., Maiorov L.V. Otcenka parametrov kritichnosti reaktorov metodom Monte-Karlo [Evaluation of reactor criticality parameters by the Monte-Carlo method]. Moscow, Energoatomizdat Publ., 1984. 120 p.
7. Oleynik D.S. Monte Carlo Calculation of Weakly Coupled Systems. Atomic Energy, 2005, vol. 99, no. 4, pp. 694–701. DOI: https://doi.org/10.1007/s10512-006-0002-y.
8. Brown F.B., Carney S.E., Kiedrowski B.C., Martin W.R. Fission Matrix Capability for MCNP, Part I – Theory. Proc. of the SNA + MC 2013 – Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo. Sun Valley, ID, report LA-UR-13-20429, talk LA-UR-13-23152 (2013). DOI: https://doi.org/10.1051/snamc/201403502.
9. Gurevich M., Daychenkova Yu., Kalugin M., Oleynik D., Shkarovskiy D. Issledovaniye vliyaniya funktsii tsennosti neytronov na tochnost’ rascheta effektivnoy doli zapazdyvayushchikh i vremeni generatsii mgnovennykh neytronov po programme MCU [Investigation of the Influence of the Neutron Value Function on the Accuracy of Calculating the Effective Fraction of Delayed Neutrons and the Generation Time of Prompt Neutrons Using the MCU Program]. Atomic Energy, 2022, no. 132(5), pp. 259–264. Available at: https://j-atomicenergy.ru/index.php/ae/article/view/5188 (accessed 19.01.2023).
UDC 621.039.51
Problems of Atomic Science and Technology. Series: Nuclear and Reactor Constants, 2023, no. 1, 1:2