基于弦长抽样方法的弥散燃料蒙特卡罗中子输运模拟

弥散燃料因具有燃耗深、包容裂变产物能力强和导热性好等优点而被广泛应用于新型核能系统设计中。然而,弥散燃料因其燃料颗粒在基体材料中的随机分布特性给传统中子输运模拟方法带来了新挑战。基于弦长抽样法发展了弥散燃料蒙特卡罗中子输运计算方法和数值模拟程序,其可以实现弥散燃料的在线建模,充分考虑中子输运过程中燃料颗粒在基体材料中的随机分布特性,快速获得准确可靠的中子输运模拟结果。利用数值例题对本文方法及程序开展了基准验证,证明了本文方法及程序在弥散燃料临界计算中的正确性。

Monte Carlo Neutron Transport Simulation for Dispersion Fuel Based on Chord Length Sampling Method

The dispersion fuel is with the advantages of high burnup, strong ability of containing fission products and good thermal conductivity. It is widely used as an advanced fuel element in new types of nuclear reactors. However, the dispersion fuel element in which the fuel particles statistically distributed in the matrix material presents some new challenges for the conventional neutron transport simulation methods. In this paper, the Monte Carlo neutron transport simulation method based on the chord length sampling is developed. The method can realize the on-the-fly modeling of the dispersion fuel, in which the fuel particles are randomly distributed in the matrix material. The method can obtain neutron transport simulation results accurately and effectively. The method was verified with numerical benchmarks, which indicated the accuracy and reliability of the method in dealing with the dispersion fuels in criticality calculations.