Multi-criteria comparative evaluation of spallation reaction models

This paper presents an approach to a comparative evaluation of the predictive ability of spallation reaction models based on widely used, well-proven multiple-criteria decision analysis methods (MAVT/MAUT, AHP, TOPSIS, PROMETHEE) and the results of such a comparison for 17 spallation reaction models in the presence of the interaction of high-energy protons with natPb

DESIGN SUBSTANTIATION OF CHARACTERISTICS FOR ELECTRONUCLEAR PLANTS AND MODELLING OF PHYSICAL PROCESSES IN TARGETS AND BLANKETS OF ELECTRONUCLEAR PLANTS (ENP)

The aim is top create and develop the mathematical models for description of the plants with hard neutronic spectra. The created mathematical models of the transient and steady-state development stages of the nuclear engineering (NE) enabled to compare the developed ENP and to determine the conditions at which they can be blended with optimal structure of NE. The substantiation of the gasodynamic "closing" windows for introduction of the deutron beam into the target enables to be refuse from the wall separating the vacuum chamber of the accelerator from target chamber. The developed program complexes enables to calculate firstly the nucleon deviation sections, neutron sections of forming helium, hydrogen and long-living radioactive isotopes in the field of energies from 10 MeV to 10 GeV for a number of the structural materials. The created libraries are necessary at investigation of the plants capable to solve the problem of the ecological-acceptable, safe and economic fuel cycleAvailable from VNTIC / VNTIC - Scientific & Technical Information Centre of RussiaSIGLERURussian Federatio

INFLUENCE OF TRANSIENTS IN PARALLEL LOW-FREQUENCY THYRISTORS ON LOAD DISTRIBUTION BETWEEN THEM

The mathematical models for group of the parallel thyristors on the intervals of distributing the switched on state and switching-off have been developed. The combinations of the parameters in the thyristors and current-carrying parts permitting to decrease the influence of the transients in the parallel thyristors on the load distribution between them have been determined. The work results have been used at formation of the requirements to the making-up a set of the converters with the thyristors and determination of the parameters in the current-carrying parts and protective RC-circuits of the converters without current dividers.Available from VNTIC / VNTIC - Scientific & Technical Information Centre of RussiaSIGLERURussian Federatio

Application of machine learning methods for filling and updating nuclear knowledge bases

The paper deals with issues of designing and creating knowledge bases in the field of nuclear science and technology. The authors present the results of searching for and testing optimal classification and semantic annotation algorithms applied to the textual network content for the convenience of computer-aided filling and updating of scalable semantic repositories (knowledge bases) in the field of nuclear physics and nuclear power engineering and, in the future, for other subject areas, both in Russian and English. The proposed algorithms will provide a methodological and technological basis for creating problem-oriented knowledge bases as artificial intelligence systems, as well as prerequisites for the development of semantic technologies for acquiring new knowledge on the Internet without direct human participation. Testing of the studied machine learning algorithms is carried out by the cross-validation method using corpora of specialized texts. The novelty of the presented study lies in the application of the Pareto optimality principle for multi-criteria evaluation and ranking of the studied algorithms in the absence of a priori information about the comparative significance of the criteria. The project is implemented in accordance with the Semantic Web standards (RDF, OWL, SPARQL, etc.). There are no technological restrictions for integrating the created knowledge bases with third-party data repositories as well as metasearch, library, reference or information and question-answer systems. The proposed software solutions are based on cloud computing using DBaaS and PaaS service models to ensure the scalability of data warehouses and network services. The created software is in the public domain and can be freely replicated

Semantic web and knowledge graphs as an educational technology of personnel training for nuclear power engineering

The technologies of knowledge representation and inference in an artificial intelligence system focused on the domain of nuclear physics and nuclear power engineering are considered. The possibilities of description logics and graph databases of nuclear knowledge for the generation of cognitive hypotheses, using in addition to deduction and other ways of reasoning, such as inductive inference and reasoning based on analogies, are discussed. The use of adequate description logic and measures of semantic similarity is substantiated. Interactive visual navigation and reasoning on the knowledge graphs are performed by means of special retrieval widgets and the smart RDF browser. Operations with semantic repositories are implemented on cloud platforms using SPARQL queries and RESTful services. The proposed software solutions are based on cloud computing using DBaaS and PaaS service models to ensure scalability of data warehouses and network services. Example of use of the offered technologies and software has been given

Multi-criteria comparative evaluation of spallation reaction models

This paper presents an approach to a comparative evaluation of the predictive ability of spallation reaction models based on widely used, well-proven multiple-criteria decision analysis methods (MAVT/MAUT, AHP, TOPSIS, PROMETHEE) and the results of such a comparison for 17 spallation reaction models in the presence of the interaction of high-energy protons with natPb

Corrigendum: Comparison of spallation reaction models based on multiple-criteria decision analysis. https://doi.org/10.3897/nucet.4.31869

Corrigenda: Comparison of spallation reaction models based on multiple-criteria decision analysis. https://doi.org/10.3897/nucet.4.3186

Comparison of spallation reaction models based on multiple-criteria decision analysis

The paper presents the results of a comparative evaluation of the predictive ability of seventeen spallation reaction models (CEM02, CEM03, Phits/jam, Cascade/ASF, Phits/Bertini, Bertini/Dresner, Cascade-4, INCL4/Abla, INCL4/smm, geant4/binary, Isabela/smm, geant4/Bertini, Isabela/Abla, INCL4/Gemini, CASCADeX-1.2, Isabel/Gemini, Phits/jqmd) for the interaction reactions of high-energy protons with natPb nuclei using the most popular methods of multiple-criteria decision analysis (MAVT/MAUT, AHP, TOPSIS, PROMETHEE). Multiple-criteria decision analysis methods are used extensively to support decision-making in various fields of knowledge, including nuclear physics and engineering, when aggregating conflicting criteria with due account for the expert and decision-maker opinions. Four factors of computational and experimental agreement (R, D, F, H), most commonly used in this field of knowledge, have been employed as the criteria, which, having been aggregated as part of applying respective multiple-criteria decision analysis methods, make it possible to estimate the integral measure of the computational model effectiveness and to rank the models, using this as the basis, depending on the degree of their predictive ability. It has been demonstrated that the ranking results obtained using different multiple-criteria decision analysis methods show a good agreement. Using a stochastic approach to the generation of weights, the models were ranked in conditions with the absence of data on the significance of individual agreement factors. Recommendations are presented for using the multiple-criteria decision analysis methods to address tasks involved in the preparation of nuclear data in conditions of a multiple-factor evaluation of discrepancies between calculations and experiment