首页> 外文期刊>Annals of nuclear energy >Development of the neutronics transport code based on the MOC method and adjoint-forward Coarse Mesh Finite Difference technique: PerMOC code for lattice and whole core calculations
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Development of the neutronics transport code based on the MOC method and adjoint-forward Coarse Mesh Finite Difference technique: PerMOC code for lattice and whole core calculations

机译:基于MOC方法和伴随向前的粗网格有限差分技术的中子输运代码的开发:用于晶格和整个核计算的PerMOC代码

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In this research, the Coarse Mesh Finite Difference (CMFD) acceleration technique in both adjoint and forward mode is applied to the MOC kernel, to develop a new code called PerMOC. A new approach in the adjoint MOC kernel which is called thermal-up-scattering-like iteration scheme reduces the total number of adjoint iteration sweeps. In additions, more speed-up is achieved using a parallel transport sweeping in MOC kernel. Validation test for PerMOC C-Sharp code is carried out for four distinct criticality benchmarks in which C5G7 is one of those. In the case of C5G7 benchmark, the best-calculated multiplication factor has 51 pcm differences with the reference case. Furthermore, the newly proposed adjoint solver reduces about 30% the number of adjoint transport sweeps in comparison with the normal adjoint solver. The present article describes the PerMOC methodologies and illustrates its ability to model large problems with acceptable accuracy. (C) 2019 Elsevier Ltd. All rights reserved.
机译:在这项研究中,将粗略网格有限差分(CMFD)伴随和正向两种模式的加速技术应用于MOC内核,以开发一种称为PerMOC的新代码。伴随MOC内核中的一种新方法,称为热向上散射式迭代方案,可以减少伴随迭代扫描的总数。此外,使用MOC内核中的并行传输扫描可以实现更高的速度。 PerMOC C-Sharp代码的验证测试针对四个不同的关键性基准进行,其中C5G7是其中之一。在C5G7基准测试的情况下,计算得出的最佳乘法因子与参考实例之间相差51 pcm。此外,新提出的伴随求解器与普通的伴随求解器相比,减少了约30%的伴随传输扫掠次数。本文介绍了PerMOC方法,并说明了其以可接受的准确性对大型问题进行建模的能力。 (C)2019 Elsevier Ltd.保留所有权利。

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