论文标题
物理模型误差对状态估计中中子应用应用的影响
Impact of physical model error on State Estimation for neutronics applications
论文作者
论文摘要
在本文中，我们考虑了来自中子通量数量有限的电厂中核电场对核电场估算的反问题。为此，我们使用参数化的背景数据弱方法。该方法将观测值与中子通量行为的参数化PDE模型相结合。一般而言，由于即使是最复杂的模型也无法完美捕获现实，因此会出现不可避免的模型错误。当我们为中子通量使用扩散模型时，我们研究了模型误差在功率重建中的影响，并假设真正的物理学由中子传输模型控制。
In this paper, we consider the inverse problem of state estimation of nuclear power fields in a power plant from a limited number of observations of the neutron flux. For this, we use the Parametrized Background Data Weak approach. The method combines the observations with a parametrized PDE model for the behavior of the neutron flux. Since, in general, even the most sophisticated models cannot perfectly capture reality, an inevitable model error is made. We investigate the impact of the model error in the power reconstruction when we use a diffusion model for the neutron flux, and assume that the true physics are governed by a neutron transport model.
