Efficient modeling methods of large-scale model for Monte Carlo transport simulation

Abstract

Monte Carlo methods are widely used in simulation of the full-core reactor. They are usually adopted to deal with the geometry model based on the Constructive Solid Geometry. A visual modeling software for the automatic particle transport program, called JLAMT, is developed by the institute of applied physics and computation mathematics. It provides the computing model for Monte Carlo simulation codes, such as Geant4(a software toolkits developed by CERN) and JMCT(a 3D Monte Carlo neutron and photon transport code). To get a better result, the detailed model is needed. For devices as complex as full-core reactors, tens of thousands solids are needed to represent the model. This paper brings up efficient modeling methods of implicit modeling and layer-based modeling for solving this problem. And the effects to the overlap checking are discussed. Taking the full-core reactor of Daya bay power station as an example, experiments show that, by using the efficient modeling methods, both the amount of solids and the time of the overlap checking are reduced.