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A Rapid Method for calculating k_(eff) values for Spent Partitions of radially or axially inhomogeneous Densities, where Surfaces of Fuel Elements are tapered with Porosity

机译:一种快速方法,用于计算径向或轴向非均匀密度的用尽分区的k_(eff)值,其中燃料元件的表面随着孔隙度逐渐变细

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We see rapid convergence of KK in Tables I through V. In all of these tables we can interpret KK as being buckling in the middle or center of a given 'fuel' element or simple assembly. In other words, in the Tables shown and numerous undisplayed tables, the KK value of the material buckling of the our samples converges rapidly to the correct values. Agreement between the analytical value for critical material buckling and the matrix extracted value of material buckling is to more than 10 significant figures for matrices of size 12 by 12 and over 10 figures for Tables I through n. Table Ⅲ shows similar agreement to reliable independent calculations via the "shooting method" for Ordinary Differential Equations (ODE's). For Table Ⅳ, agreement to 11 significant figures was attained by the 18 × 18 matrix. Table V is especially impressive in that agreement to 11 significant figures is already in the 10 × 10 matrix. Likewise in Tables Ⅳ and V there was verified agreement by selectively using the "shooting" method of ODE's find the properly fitting KK value. In all examples it takes less than 30 seconds of Intel Core-Ⅱ cpu time to extract these roots for Tables I through Ⅲ. In Tables Ⅳ and V, it took less than 40 seconds to extract the lowest root from the 14 × 14 and 16 × 16 matrices of our EBMaG code and formulation package. We took advantage of Fick's 'law' for neutron diffusion in a secondary way by allowing ourselves to transfer the diffusion length 'D' outside to the right-hand term of the n-diffusion equation, so that the 'D' is absorbed within the tapered KK factor, no being subject to the tedious but negligible effects of taking the gradient of D of the fuel element. Although more exhaustive of CPU time and RAM, our EBMaG code and algorithm can be modified to successfully include term of gradient 'D' into the function operator G, which was described within or after (Eq 3) on a prior page.
机译:我们在表I至表V中看到KK的快速收敛。在所有这些表中,我们都可以将KK解释为在给定的“燃料”元素或简单装配的中间或中心弯曲。换句话说,在显示的表格和许多未显示的表格中,我们样品的材料屈曲的KK值迅速收敛到正确的值。对于尺寸为12乘12的矩阵,关键材料屈曲的分析值与材料屈曲的矩阵提取值之间的一致性为10以上的有效数字,对于表I至n,则为10以上的有效数字。表Ⅲ显示了通过常微分方程(ODE's)的“射击方法”与可靠的独立计算相似的一致性。对于表Ⅳ,通过18×18矩阵获得了11个有效数字的一致。表V尤其令人印象深刻,因为在10×10的矩阵中已经有11个有效数字的协议。同样,在表Ⅳ和表Ⅴ中,通过有选择地使用ODE的“射击”方法找到了合适的KK值,也证实了一致性。在所有示例中,只需不到30秒的IntelCore-Ⅱcpu时间即可为表I至Ⅲ提取这些根。在表Ⅳ和Ⅴ中,从我们的EBMaG代码和配方包的14×14和16×16矩阵中提取最低根的时间不到40秒。通过让我们自己将扩散长度'D'转移到n扩散方程的右手项,从而使'D'被吸收到二次扩散中,我们以第二种方式利用了Fick的“定律”来进行中子扩散。锥形KK因子,采用燃料元素D的梯度不会产生乏味但可以忽略的影响。尽管CPU时间和RAM更为详尽,但我们的EBMaG代码和算法可以进行修改,以成功地将坡度“ D”项包含到函数运算符G中,这在上一页的(等式3)中或之后进行了描述。

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