压水堆模型降阶研究综述

Ahmed Almasaabi, Tarun Varshney, Sushma Kakkar
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摘要

模型阶数缩减(MOR)是一种用于简化复杂系统的数学表示的技术,如加压重水反应堆(PHWRs),以使其计算效率更高,更容易分析。这是通过识别和消除系统中冗余或无关紧要的变量来实现的,从而产生一个捕获原始系统基本动态的降阶模型(ROM)。在phwr的环境中,MOR可以用来减少描述反应堆行为的大量方程和变量,从而可以进行详细的模拟和分析,否则这些模拟和分析是不可行的。MOR可以应用于PHWR模型的不同级别,例如核心,初级电路或整个工厂。MOR方法的选择取决于需要研究的PHWR的特定方面。最常用的MOR方法有平衡截断法、适当正交分解法和约基法。MOR可用于提高PHWRs的设计和控制效率,以及更好地了解潜在的物理过程,并提高反应堆的安全性和可靠性。
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Model Order Reduction of Pressurized Heavy Water Reactor: An Overview
Model Order Reduction (MOR) is a technique used to simplify the mathematical representation of complex systems, such as Pressurized Heavy Water Reactors (PHWRs), in order to make them more computationally efficient and easier to analyze. This is done by identifying and eliminating the redundant or insignificant variables in the system, resulting in a reduced order model (ROM) that captures the essential dynamics of the original system. In the context of PHWRs, MOR can be used to reduce the large number of equations and variables that describe the reactor's behavior, making it possible to perform detailed simulations and analyses that would otherwise be infeasible. MOR can be applied to different levels of the PHWR model, such as the core, the primary circuit, or the whole plant. The choice of the MOR method depends on the particular aspect of the PHWR that needs to be studied. The most common MOR methods are the balanced truncation, proper orthogonal decomposition and the reduced basis method. MOR can be used to improve the efficiency of the design and control of PHWRs, as well as to provide a better understanding of the underlying physical processes and to enhance the safety and reliability of the reactor.
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