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A lumped parameter method of characteristics approach and multigroup kernels applied to the subgroup self-shielding calculation in MPACT

机译:特征法和多组核的集总参数方法在MPACT中的子组自屏蔽计算中的应用

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An essential component of the neutron transport solver is the resonance self-shielding calculation used to determine equivalence cross sections. The neutron transport code, MPACT, is currently using the subgroup self-shielding method, in which the method of characteristics (MOC) is used to solve purely absorbing fixed-source problems. Recent efforts incorporating multigroup kernels to the MOC solvers in MPACT have reduced runtime by roughly 2×. Applying the same concepts for self-shielding and developing a novel lumped parameter approach to MOC, substantial improvements have also been made to the self-shielding computational efficiency without sacrificing any accuracy. These new multigroup and lumped parameter capabilities have been demonstrated on two test cases: (1) a single lattice with quarter symmetry known as VERA (Virtual Environment for Reactor Applications) Progression Problem 2a and (2) a two-dimensional quarter-core slice known as Problem 5a-2D. From these cases, self-shielding computational time was reduced by roughly 3–4×, with a corresponding 15–20% increase in overall memory burden. An azimuthal angle sensitivity study also shows that only half as many angles are needed, yielding an additional speedup of 2×. In total, the improvements yield roughly a 7–8× speedup. Given these performance benefits, these approaches have been adopted as the default in MPACT.
机译:中子输运求解器的基本组成部分是用于确定等效截面的共振自屏蔽计算。中子传输代码MPACT当前正在使用子组自屏蔽方法,其中使用特征方法(MOC)解决纯吸收固定源问题。最近在MPACT中将多组内核合并到MOC求解器的工作将运行时间减少了大约2倍。将相同的概念用于自屏蔽并为MOC开发新颖的集总参数方法,还可以在不牺牲任何精度的情况下对自屏蔽的计算效率进行实质性的改进。这些新的多组参数和集总参数功能已在两个测试案例中得到了证明:(1)具有四分之一对称性的单个晶格称为VERA(反应堆应用虚拟环境)级数问题2a,以及(2)已知的二维四分之一核片作为问题5a-2D。在这些情况下,自屏蔽计算时间大约减少了3-4倍,相应的总体内存负担增加了15-20%。方位角灵敏度研究还显示,仅需要一半的角度即可产生2倍的额外加速。总体而言,这些改进可以使速度提高大约7-8倍。鉴于这些性能优势,MPACT已将这些方法作为默认方法。

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