Application of random media program based on SuperMC in solving double-heterogeneity
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摘要: 与传统的棒状燃料采用单一UO2陶瓷芯体不同,弥散型板状燃料元件是将燃料微球混合在金属基体中,燃料球与基体间微观上还存在体积的非均匀性。如果不能有效处理弥散燃料的局部空间,自屏效应将对物理特性参数计算带来一定偏差。但传统确定论程序的填卡方式忽略了弥散型燃料具有双重非均匀性的特点。针对板状弥散型燃料栅元,基于SuperMC程序编写随机介质程序,分别建立体积均匀模型和颗粒模型来验证分析弥散型燃料中由空间自屏效应引起的非均匀性。结果表明,该随机介质程序用于SuperMC中,可以解决具有双重非均匀性的弥散型燃料的粒子输运数值模拟问题,再通过建立传统RPT等效模型修正燃料和基体间非均匀性带来的计算偏差。Abstract: The dispersed fuel element is often used in small integrated PWR. The fuel core is composed of a large number of small fuel microspheres mixed in the metal matrix, and the volume heterogeneity exists between the fuel particles and the matrix. If the local space self-screen effect of the dispersion fuel can not be effectively treated, it will bring some deviation to the calculation of physical property parameters. The traditional deterministic method neglects the double-heterogeneity of dispersive fuel. In this paper, the explicit modelling and the random medium program based on SuperMC are used to establish the volumetric homogenization model and grain model to verify double-heterogeneity. The traditional reactivity-equivalent physical transformation (RPT) model of the dispersive plate-fuel was established to correct the calculation deviation. The results show that the random media program combined with SuperMC can simulate the calculation of transport and burnup of various types of particles, and can well analyze and solve the double-heterogeneity problem.
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Key words:
- particle-dispersed fuel /
- random media program /
- SuperMC /
- double-heterogeneity
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表 1 单板均匀模型主要物理参数
Table 1. Physical parameters of volumetric homogeneous model physical parameters
offuel core length/cm fuel core width/cm clad length/cm clad thickness/cm moderator length/cm 1.50 0.05 1.50 0.015 1.50 moderator width/cm plate length/cm plate width/cm fuel height/cm volume of UO2/% 0.08 0.10 0.08 1.20 12 表 2 0燃耗下的模型验证
Table 2. Model validation at zero burnup
fuel enrichment/% SuperMC keff MCNP keff error/10−5 20 1.41055 1.41100 −45 50 1.68305 1.68319 −14 80 1.77759 1.77797 −38 表 3 不同分布的颗粒模型keff计算结果
Table 3. Grain model keff values with different distributions
No. GM keff average keff error/10−5 1 1.403 46 1.403 80 −34 2 1.403 56 −24 3 1.404 08 28 4 1.403 90 10 5 1.404 00 20 -
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