THE DEVELOPMENT OF A PREPROCESSOR TO GENERATE INPUT FOR MONTE CARLO CODES AND ITS APPLICATION TO FAST REACTOR ANALYSIS

摘要

For many calculations in Reactor Physics. Monte Carlo methods have significant advantages over standard deterministic techniques. However, because very accurate geometric models can be generated, input data to Monte Carlo codes is difficult, tedious and extremely time consuming to prepare. This paper describes a preprocessor which reduces considerably the size and complexity of user generated data. In fact only dimensional and composition information is required by the preprocessor for it to produce the code input file and it is believed that this is a significant development in facilitating Monte Carlo data preparation. After a description of the preprocessor an indication of the reduction in effort required to generate the Monte Carlo input for the heterogeneous pin structure of MASURCA by using the preprocessor is given followed by comparisons of calculated and experimental k(eff) values. Finally future developments and applications of the preprocessor are described. In this paper only applications to Fast Reactor Physics will be considered. However the approach is quite general and could be extended to Thermal studies. [References: 8]