Monte Carlo criticality analysis under material distribution uncertainty

物質分布の不確さの下でのモンテカルロ法臨界計算の検討

植木 太郎  

Ueki, Taro

過酷事故の炉心溶融の際に生成される二酸化ウラン・コンクリート混合物の臨界性評価に関連して、ワイエルシュトラス関数に基づく確率論的乱雑化モデルを構築し、モンテカルロ法臨界計算の不確かさを検討した。中性子実効増倍率の評価値には、無視できない揺らぎが生じることがわかった。

Analysis framework under material distribution uncertainty is investigated for the Monte Carlo (MC) criticality calculation of continuously mixed media formed via molten core concrete interaction. Deterministic trigonometric functions and randomized Weierstrass functions are utilized to represent the spatially continuous variation. Numerical results indicate that the effective multiplication factor (k) under random spatial variation can depart significantly from the k of a reference uniform medium. It is also shown that the deterministic modeling provides an upper-bound measure for extreme results from random realizations.