模型柔性化在中子动力学方程中的应用

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Application of Flexible Model in Neutron Dynamics Equations

1. State Key Laboratory of Multi Phase Flow, Xi'an Jiaotong University, Xi'an, 710049, China;
2. Zhongkehua Nuclear Power Institute of Technology, Shenzhen, Guangdong, 518026, China

摘要: 建立中子动力学方程时,如果可得到的堆芯物理参数组有限,则常用的多模型建模会带来较大的误差。本文采用模糊理论中的隶属函数的描述方法,通过寿期内有限个时刻点的参数值确定出寿期内任一时刻的参数值,从而得到任意时刻的中子动力学方程。为了克服隶属函数选择的主观性对参数计算带来的影响,利用遗传算法对隶属函数进行了二次优化,使得到的任意时刻的中子动力学方程更加准确。
- 隶属函数 /
- 柔性模型 /
- 二次优化
Abstract: Big errors will occur in the modeling by multimode methodology when the available core physical parameter sets are insufficient. In this paper, the fuzzy logic membership function is introduced to figure out the values of these parameters on any point of lifetime through limited several sets of values, and thus to obtain the neutron dynamics equations on any point of lifetime. In order to overcome the effect ofsubjectivity in the membership function selection on the parameter calculation, quadratic optimization is carried out to the membership function by genetic algorithm, to result in a more accurate neutron kinetics equation on any point of lifetime.
- Membership function /
- Flexible model /
- Quadratic optimization