In this paper, a non-intrusive reduced-order model (ROM) for parametric reactor kinetics simulations is presented. Time-dependent ROMs are notoriously data intensive and difficult to implement when nonlinear multiphysics phenomena are considered. These challenges are exacerbated when parametric dependencies are included. The proper orthogonal decomposition mode coefficient interpolation (POD-MCI) ROM presented in this work can be constructed directly from lower-dimensional quantities of interest (QoIs) and is independent of the underlying model. This greatly alleviates the data requirement of many existing ROMs and can be used without modification on arbitrarily complex models or experimental data. The POD-MCI ROM is demonstrated on a number of examples and yields accurate characterizations of the QoIs within the selected parameter spaces at extremely attractive computational speed-up factors relative to the full-order models (FOMs).
翻译:本文介绍了一个非侵入性减序模型(ROM),用于模拟参数反应堆动能,依赖时间的ROM在考虑非线性多物理学现象时是数据密集的臭名昭著的,难以执行,如果包括参数依赖性,这些挑战就更加严重。在本文中介绍的正正正正正正正正的分解模式系数内插图(POD-MCI)ROM可直接从低维的利息量(QoIs)中构建,独立于基本模型。这大大减轻了许多现有ROM的数据要求,可以不修改任意复杂的模型或实验数据而加以使用。POD-MCIROM在选定的参数空间以极有吸引力的计算速度系数(FOMS)对QOI的精确特征进行了演示,并得出了与全序模型(FOMS)相比极具吸引力的计算速度系数(POD-MS)。</s>