Development of models, algorithms and software for solving the risk as-sessment problems at NPPs in case of beyond-design accidents

Autor: Vladislav Chuenko, Egor Karpushin, Vyacheslav Andreev, Andrey Suvorov, A. Abramova, Grigoriy Fiksakov, Oleg Zolotarev, Maria Berberova, Alena Fedoseeva
Rok vydání: 2020
Předmět:
Zdroj: CPT2020 The 8th International Scientific Conference on Computing in Physics and Technology Proceedings.
DOI: 10.30987/conferencearticle_5fd755c08ed1f6.56308654
Popis: This project is aimed at developing models, algorithms and a software package for measures to improve safety and reduce risk in the design of new and operation of existing nuclear power plants. The principal novelty of the project is the development of a methodological apparatus for assessing radiation risk at nuclear power plants during the most dangerous (beyond design basis) accidents involving the emission of thermal neutron sources with a low flux density. Nuclear reactors based on the use of fission energy of heavy nuclei are powerful sources of gamma radiation and neutrons. The project is aimed at computer modeling and the development of new methods, algorithms and a software package for solving the problems of assessing safety and risk at nuclear power plants in the most dangerous (beyond design basis) accidents with the emission of thermal neutron sources with a low flux density. To implement the project, it is necessary to develop a methodological approach to solving the problems of assessing the doses of external and internal radiation and assessing the damage to the population living around nuclear power plants during the most dangerous (beyond design basis) accidents with the emission of thermal neutron sources with a low flux density; make cal-culations for the population, given its age composition. Based on these decisions, measures will be proposed to reduce the risk and improve the safety of nuclear power plants.
Databáze: OpenAIRE