Abstract In order to give a clear picture of key parameters uncertainties introduced from fuel pebble model in HTR and its effect on the uncertainty propagation, herein different methods of sampling the position of a random dispersed TRISO particle in the fuel region were studied. And total ten different fuel pebble models including high-fidelity models with random dispersed fuel particles and homogenized models were built to quantify the uncertainty of eigenvalue introduced by fuel pebble models. Meanwhile, the effect of fuel pebble model on the uncertainty propagation of nuclear data was also investigated. The numerical results indicate that the fuel pebble models introduce a great model uncertainty to the calculated multiplication factor and also have a significant effect on the uncertainty propagation of nuclear data. However, the uncertainty of the multiplication factors due to the random distribution of TRISO particles is relatively small compared with the uncertainty propagated from nuclear data.

中文翻译：

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燃料卵石模型的不确定性量化及其对卵石床HTR核数据不确定性传播的影响

摘要 为了清楚地了解HTR中燃料卵石模型引入的关键参数不确定性及其对不确定性传播的影响，本文研究了对燃料区域中随机分散的TRISO粒子位置进行采样的不同方法。并建立了包括具有随机分散燃料颗粒的高保真模型和均质模型在内的总共十种不同的燃料卵石模型，以量化燃料卵石模型引入的特征值的不确定性。同时，还研究了燃料卵石模型对核数据不确定性传播的影响。数值结果表明，燃料卵石模型给计算的倍增因子带来了很大的模型不确定性，并且对核数据的不确定性传播也有显着影响。然而，