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首页> 外文期刊>Annals of nuclear energy >A novel extension of chord length sampling method for TRISO-type fueled reactor applications
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A novel extension of chord length sampling method for TRISO-type fueled reactor applications

机译：TRISO型燃料反应堆应用中弦长采样方法的新型扩展

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A new chord length distribution model is proposed to characterize the stochastic distribution of TRISO fuel particles in nuclear reactor systems and is used in the chord length sampling (CLS) method to analyze the neutronic behavior of TRISO fuel systems. In this model, the coating layers of fuel particles are homogenized with the background matrix region. The probability density function (PDF) of the chord length between fuel kernels, instead of fuel particles, is developed and is used in the CLS method. We first apply the new CLS model to solving one-group eigenvalue problems in a simplified 3-D stochastic medium system. Good accuracy is obtained in predicting the multiplication factor and fission density distribution. The relative differences are within 1.0% for both the multiplication factor and the total fission density in all the studied scenarios. We then apply the new CLS model to analyzing three realistic reactor designs: two Very High Temperature Gas-cooled Reactor unit cells and one fuel pin unit cell of an innovative light water reactor design with accident tolerant fuel. Infinite multiplication factor and intra-Danc-off factor are evaluated for the three unit cells respectively. Compared with the reference results, predictions from CLS simulations show a relative difference of less than 0.26% for infinite multiplication factors and less than 1.0% for intra-Dancoff factors in all the studied cases. Meanwhile, a significant improvement in the computational efficiency has been observed for the CLS new model compared with the old model, with a speedup of at least 1.70. The CLS method with the new chord length distribution model is verified to be an efficient Monte Carlo method, superior over the old model and without sacri-ficine the accuracv.
机译：提出了一种新的弦长分布模型，用于表征核反应堆系统中TRISO燃料颗粒的随机分布，并将其用于弦长采样（CLS）方法中，以分析TRISO燃料系统的中子行为。在该模型中，燃料颗粒的涂层与背景基质区域均匀化。开发了燃料核之间的弦长而不是燃料粒子的概率密度函数（PDF），并将其用于CLS方法。我们首先将新的CLS模型应用于简化的3-D随机介质系统中的一组特征值问题。在预测倍增因子和裂变密度分布时获得了良好的准确性。在所有研究方案中，乘积因子和总裂变密度的相对差异均在1.0％以内。然后，我们将新的CLS模型应用于分析三个现实的反应堆设计：两个具有事故容忍性燃料的创新轻水反应堆设计的两个非常高温气冷式反应堆单元电池和一个燃料销单元电池。分别对三个单位单元的无穷倍增因子和Danc-off因子进行了评估。与参考结果相比，CLS模拟的预测结果显示，在所有研究的案例中，无限乘法因子的相对差异均小于0.26％，而Dancoff内部因子的相对差异则小于1.0％。同时，与旧模型相比，CLS新模型的计算效率得到了显着提高，至少提高了1.70。经过验证，采用新弦长分布模型的CLS方法是一种有效的蒙特卡洛方法，优于旧模型，并且无需牺牲准确性。

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