Improvement of computer code DRAGON5 for providing support to safety assessment, criticality studies and core simulation of nuclear reactors

改进计算机代码DRAGON5，为核反应堆安全评估、临界性研究和堆芯模拟提供支持

• 批准号: RGPIN-2016-06406
• 负责人: Hébert, Alain
• 金额: $ 2.11万
• 依托单位: École Polytechnique de Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=710185
• 关键词: Improvement; computer; code; DRAGON5; providing

Neutronics deterministic simulations are based on two software components, one dedicated to the unit fuel assembly and the other dedicated to the full core. The more complex one is the lattice code based on a solution of the Boltzmann equation for neutrons and on specific models. It is used for criticality safety and for reactor physics applications by feeding the full core simulation code with a multi-parameter database. In the last 30 years, École Polytechnique de MontrÉal (EPM) has developed the lattice code DRAGON, now at Version 5, and a 3D diffusion code named DONJON for full core simulations. These two codes are widely distributed across the world under an open-source license and are used by many universities and organizations who are becoming expert users of DRAGON/DONJON. The numerical performance of the solution algorithms for the Boltzmann equation has a strong effect on both the accuracy and the CPU-effectiveness of DRAGON. The short-term objective of this NSERC/DG program is to study the mathematical foundations, accuracy and acceleration issues related to the basic numerical technique used in modern lattice code, in a way to improve the overall performances of DRAGON V5. The long-term objective is to provide software tools and computational schemes to the nuclear industry that will enable them to assess the performance and safety characteristics of existing and new types of nuclear reactors. The first two sub-projects focus on deterministic solution techniques of the Boltzmann equation: (1) Development of a discrete ordinates (SN) method with a Discontinuous Galerkin (DG) scheme; (2) Improve the method of characteristics (MOC) and develop the first-order algebraic collapsing (FOAC) method. Three more sub-projects are defined in order to develop and validate computational schemes based on the most recent advances available in DRAGON V5: (3) Development of two-level computational schemes for PWR (pressurized water reactor) lattices, (4) Development of two-level computational schemes for ASTRID (Advanced Sodium Technological Reactor for Industrial Demonstration) lattices, (5) Development of micro-depletion capabilities for ASTRID-type full-core simulations. Subjects related to the development or improvement of solution techniques for the Boltzmann equation are clearly of the Ph.D. level. Development of the one- and two-level computational schemes in CLE-2000 language and their code-to-code validation with respect to burnup-dependent Monte Carlo simulations is of the level of M.Eng. students. The three M.Eng. sub-projects will be investigated in close relationship with industrial partners such as IRSN and GRS, keeping our focus on production applications.

中子学确定性模拟基于两个软件组件，一个专用于单元燃料组件，另一个专用于整个堆芯，更复杂的一个是基于中子玻尔兹曼方程解和特定模型的晶格代码。通过为完整的堆芯模拟代码提供多参数数据库，用于临界安全和反应堆物理应用 在过去 30 年中，蒙特利尔理工学院 (EPM) 开发了点阵代码 DRAGON（现已版本 5）和用于全核心模拟的名为 DONJON 的 3D 扩散代码 这两种代码在开源许可下广泛分布于世界各地，并被许多正在成为专家用户的大学和组织所使用。龙/主城。 玻尔兹曼方程求解算法的数值性能对 DRAGON 的精度和 CPU 效率有很大影响。该 NSERC/DG 项目的短期目标是研究相关的数学基础、精度和加速问题。长期目标是为核工业提供软件工具和计算方案，使他们能够评估性能和安全性。特征前两个子项目重点关注玻尔兹曼方程的确定性求解技术：（1）开发具有不连续伽辽金（DG）格式的离散坐标（SN）方法；（2）改进。特征方法 (MOC) 并开发一阶代数塌陷 (FOAC) 方法，定义了另外三个子项目，以便根据 DRAGON 的最新进展开发和验证计算方案。 V5：（3）开发PWR（压水堆）晶格的二级计算方案，（4）开发ASTRID（先进钠技术反应堆工业示范）晶格的二级计算方案，（5）开发微型-ASTRID 型全核模拟的耗尽功能。 与玻尔兹曼方程求解技术的开发或改进相关的主题显然属于博士级别的 CLE-2000 语言的一级和二级计算方案的开发及其代码到代码验证。燃耗相关的蒙特卡罗模拟属于工程硕士学生的水平，这三个子项目将与 IRSN 和 GRS 等工业合作伙伴密切合作进行研究，并将重点放在生产应用上。