what is rmc

rmc refers to the reactor Monte Carlo analysis program, which is a three-dimensional transport Monte Carlo program used for reactor core calculation and analysis; the rmc program is developed by the Nuclear Energy Science and Engineering Management Research Institute of the Department of Engineering Physics, Tsinghua University It was independently developed by the Reactor Engineering Computational Analysis Laboratory (REAL team) of the institute.

The operating environment of this tutorial: Windows 7 system, Dell G3 computer.

RMC (Reactor Monte Carlo code, reactor Monte Carlo analysis program) was independently developed by the Reactor Engineering Computational Analysis Laboratory (REAL Team) of the Institute of Nuclear Energy Science and Engineering Management, Department of Engineering Physics, Tsinghua University, and is used for A three-dimensional transport Monte Carlo program for reactor core calculation and analysis. The research and development of RMC began in 2001 and has gone through three stages so far, with more than 30 man-years invested in it.

The RMC program is aimed at the basic needs in reactor calculation and analysis. It also combines the new concept of reactor system design with flexible geometric structure, complex neutron energy spectrum and diverse material components, anisotropy and strong leakage (some specific situation) and other characteristics, it is the physical calculation core of the multi-physics multi-size coupled nuclear energy system numerical analysis platform.

RMC can handle complex geometric structures, use continuous energy point sections to describe complex energy spectra and materials, and can calculate eigenvalues and eigenfunctions of critical problems and simulate system fuel consumption according to the needs of actual problems. , transient process analysis (including online cross-section processing) and other calculations.

In view of the characteristics of the Monte Carlo method, RMC has developed and applied improvements such as geometry processing acceleration, kernel cross-section processing optimization, new transport process simulation methods, source convergence judgment and acceleration, counter optimization, and parallel algorithm optimization. Methods and techniques for calculating efficiency.

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