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MCSIMus: Monte Carlo Simulation with Inline Multiphysics

MCSIMus：使用内联多物理场进行蒙特卡罗仿真

基本信息

批准号：
EP/W037165/1
负责人：
Paul Cosgrove
金额：
$ 44.47万
依托单位：
University of Cambridge
依托单位国家：
英国
项目类别：
Fellowship
财政年份：
2023
资助国家：
英国
起止时间：
2023 至无数据
项目状态：
未结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FW037165%2F1
关键词：
MCSIMus Monte Carlo Simulation Inline

项目摘要

Nuclear reactors in various forms are increasingly prominent in the context of net zero. However, stringent safety standards and advanced reactor designs necessitate ever-greater certainty and understanding in reactor physics and operation. As physical experimentation becomes more expensive, nuclear engineering relies increasingly on high-fidelity simulation of reactors. Traditionally, resolving different physical phenomena in a reactor (such as neutron transport or thermal-hydraulics) proceeded by assuming only a weak dependence upon other phenomena due to limits on computational power. Such approximations were allowable when additional conservatisms were included in reactor designs. However, more economical or sophisticated reactor designs render such approximations invalid, and reactor designers must be able to resolve the interplay between each physical phenomenon. This poses a challenge to reactor physicists due to vastly increased computational costs of multi-physics calculations, as well as the risks of numerical instabilities - these are essentially non-physical behaviours which are purely an artefact of simulation.This proposal aims to provide the basis of new computational approaches in nuclear engineering which are both substantially cheaper and more stable than present multi-physics approaches. Traditional methods tend to have one tool fully resolve one phenomenon, pass the information to another tool which resolves a second phenomenon, and then pass this updated information back to the first tool and repeat until (hopefully) the results converge. This proposal hopes to explore a slightly simpler approach, where information is exchanged between different solvers before each has fully resolved its own physics, extending this to many of the phenomena of interest to a reactor designer. Preliminary analysis suggests that this approach should be vastly more stable and computationally efficient than previous methods. The investigations will be carried out using home-grown numerical tools developed at the University of Cambridge which are designed for rapid prototyping of new ideas and algorithms. The final result is anticipated to transform the nuclear industry's approach to multi-physics calculations and greatly accelerate our ability to explore and design more advanced nuclear reactors.

各种形式的核反应堆在净零的背景下日益凸显。然而，严格的安全标准和先进的反应堆设计要求对反应堆物理和操作有更大的确定性和了解。随着物理实验变得越来越昂贵，核工程越来越依赖于反应堆的高保真模拟。传统上，由于计算能力的限制，解决反应堆中的不同物理现象（如中子输运或热工水力学）仅通过假设对其他现象的弱依赖来进行。当反应堆设计中包括额外的保守性时，这种近似是允许的。然而，更经济或复杂的反应堆设计使这种近似无效，反应堆设计者必须能够解决每种物理现象之间的相互作用。这对反应堆物理学家提出了挑战，因为多物理场计算的计算成本大大增加，以及数值不稳定性的风险-这些本质上是非物理行为，纯粹是模拟的人工制品。传统方法倾向于让一个工具完全解决一个现象，将信息传递给另一个解决第二个现象的工具，然后将此更新的信息传递回第一个工具并重复，直到（希望）结果收敛。该提案希望探索一种稍微简单的方法，在每个求解器完全解决自己的物理问题之前，在不同的求解器之间交换信息，将其扩展到反应堆设计者感兴趣的许多现象。初步分析表明，这种方法应该比以前的方法更稳定，计算效率更高。这些调查将使用剑桥大学开发的本土数值工具进行，这些工具是为新思想和算法的快速原型设计的。最终结果有望改变核工业的多物理场计算方法，并大大加快我们探索和设计更先进核反应堆的能力。