Automated design optimisation of nuclear reactor cores

核反应堆堆芯的自动化设计优化

• 批准号: 2889639
• 金额: --
• 依托单位: University of Cambridge
• 依托单位国家: 英国
• 项目类别: Studentship
• 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=studentship-2889639
• 关键词: Automated; design; optimisation; nuclear; reactor

One of the key functions of a Reactor Physicist is to optimise the fuel and poison design to make the power-shape as flat and constant as possible. This ensures that the power peaks are as small as possible and the power capability of the reactor is as large as possible. The challenge is to do this both spatially and as a function of core lifetime (i.e. depletion) for all of the different core conditions. This needs to be done whilst ensuring that the reactor meets all of the other design objectives and requirements, such as maximising its core lifetime and ensuring it meets its reactivity shutdown margins.This PhD will look to developing an automated design optimisation approach to maximise the power and lifetime capability of the core. This will involve automatically varying key design options such as: the concentration and location of the fuel; the concentration and location of poison; the dimensions of the fuel elements and flow paths; etc.

反应堆物理学家的关键职能之一是优化燃料和毒物设计，使功率形状尽可能平坦和恒定。这确保了功率峰值尽可能小，并且反应器的功率容量尽可能大。挑战是在空间上和作为所有不同堆芯条件的堆芯寿命（即，耗尽）的函数来做到这一点。这需要在确保反应堆满足所有其他设计目标和要求的同时完成，例如最大化其堆芯寿命并确保其满足反应性停堆裕度。该博士将寻求开发自动化设计优化方法，以最大限度地提高堆芯的功率和寿命能力。这将涉及自动改变关键设计选项，例如：燃料的浓度和位置;毒物的浓度和位置;燃料元件和流动路径的尺寸;等等。