High performance and high fidelity deterministic neutron transport methods for nuclear reactor lattice physics simulations

用于核反应堆晶格物理模拟的高性能和高保真度确定性中子输运方法

• 批准号: 2764533
• 金额: --
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2764533
• 关键词: performance; fidelity; deterministic; neutron; transport

The aim of this PhD project is to develop novel, self-adaptive. numerical algorithms on modern, multi-core and many-core, high performance distributed computing (HPC) hardware architectures that enable high-fidelity spatial and energy resonance self-shielding of large-scale nuclear reactor lattice physics simulations. The numerical algorithms will use the latest shared and distributed memory algorithms on multicore hardware architectures that have been augmented by manycore (GPU) hardware acceleration. The spatial and energy resonance self-shielding algorithms will comprise a suite of different resonance self-shielding algorithms ranging from equivalence-in-dilution methods (EM), sub-group methods (SGM), embedded self-shielding methods (ESSM), finite element discontiguous supportmethods (FEDS) and ultrafine self-shielding methods (USSM). This will enable a range of fidelities of spatial and energy self-shielding to be performed so that the relevant computational efficiencies and accuracies of the methods can be assessed. It will also enable methods that can investigate resonance inference effects (or mutual self-shielding) between different nuclides within host materials within the nuclear reactor core. The eventual aim will be to develop numerical algorithms that can perform spatial and energy self-shielding for multidimensional single and multiple nuclear fuel assemblies (so called colour-set nuclear reactor lattice physics calculations) as well as potentially compact nuclear reactor cores. The spatial discretisation will use exact geometry conforming Non-Uniform Rational B-Spline (NURBS) enhanced methods for resolving the spatial variation in the neutron distribution which will complement the high-fidelity energy resonance self-shielding methods. Space-energy adaptivity as well as hierarchical numerical solution algorithms in energy will also be exploited to improve the computational efficiency of the space and energy resonance self-shielding algorithms.

该博士学位项目的目的是发展新颖，自适应。关于现代，多核和多核高性能分布计算（HPC）硬件体系结构的数值算法，使大型核反应堆晶格物理学模拟的高保真空间和能量共振自屏蔽能够自屏蔽。该数值算法将使用ManyCore（GPU）硬件加速度增强的多项硬件体系结构上的最新共享和分布式内存算法。空间和能量共振的自我屏蔽算法将构成一套不同的共振自我屏蔽算法，范围从等价中的稀释方法（EM），子组方法（SGM），嵌入式自我屏蔽方法（ESSM），有限元元素元素不需要的方法（USSMESMEDSMESM）（USSMEF-SERFAFF）（USSM）。这将使可以进行一系列空间和能量自屏障的保真度，以便可以评估这些方法的相关计算效率和准确性。它还将启用可以研究核反应器核心内宿主材料中不同核素之间的共振推理效应（或相互自我屏蔽）的方法。最终的目的是开发数值算法，这些算法可以为多维单核燃料组件（所谓的颜色核反应堆晶格物理学计算）以及潜在紧凑的核反应堆进行空间和能量自屏障。空间离散化将使用确切的几何形状符合非均匀的理性B-Spline（NURB）增强方法来解决中子分布的空间变化，这将补充高效能能量共振自屏障方法。还将利用太空能量适应性以及能量中的层次数值解决方案算法，以提高空间和能量共振自屏蔽算法的计算效率。