A survey of projection-based model reduction methods for parametric dynamical systems
Numerical simulation of large-scale dynamical systems plays a fundamental role in studying
a wide range of complex physical phenomena; however, the inherent large-scale nature of …
a wide range of complex physical phenomena; however, the inherent large-scale nature of …
Data-driven reduced order modeling for time-dependent problems
A data-driven reduced basis (RB) method for parametrized time-dependent problems is
proposed. This method requires the offline preparation of a database comprising the time …
proposed. This method requires the offline preparation of a database comprising the time …
GeN-ROM—An OpenFOAM®-based multiphysics reduced-order modeling framework for the analysis of Molten Salt Reactors
This work presents a projection-based multiphysics Model Order Reduction (MOR)
framework for the analysis of nuclear systems and its application to parametric simulations of …
framework for the analysis of nuclear systems and its application to parametric simulations of …
Reduced-order modeling of parameterized multi-group diffusion k-eigenvalue problems
In this paper, a group-wise Reduced-Order Model, based on a Proper Orthogonal
Decomposition (POD) technique, is presented for parameterized multi-group diffusion k …
Decomposition (POD) technique, is presented for parameterized multi-group diffusion k …
Stabilization of (G) EIM in presence of measurement noise: application to nuclear reactor physics
Abstract The Empirical Interpolation Method (EIM) and its generalized version (GEIM) can be
used to approximate a physical system by combining data measured from the system itself …
used to approximate a physical system by combining data measured from the system itself …
Application of model-order reduction of non-linear time-dependent neutronics via POD-Galerkin projection and matrix discrete empirical interpolation
R Elzohery, J Roberts - Annals of Nuclear Energy, 2022 - Elsevier
Presented here is an application of model-order reduction to non-linear neutronic transients.
The effort described extends previous work (Elzohery and Roberts, 2021b) aimed to develop …
The effort described extends previous work (Elzohery and Roberts, 2021b) aimed to develop …
Comparison of Reduced-Basis techniques for the model order reduction of parametric incompressible fluid flows
The applicability of two Reduced-Basis techniques to parametric laminar and turbulent
incompressible fluid-flow problems in nuclear engineering is studied in this work. The …
incompressible fluid-flow problems in nuclear engineering is studied in this work. The …
A reduced basis approach for modeling the movement of nuclear reactor control rods
This work presents a reduced order model (ROM) aimed at simulating nuclear reactor
control rods movement and featuring fast-running prediction of reactivity and neutron flux …
control rods movement and featuring fast-running prediction of reactivity and neutron flux …
Emulating loss of coolant simulations in a pressurized heavy water reactor
In an ideal risk-informed approach to safety analysis, all possible operational states of the
system and all sources of uncertainty would be factored. Brute force approaches are cost …
system and all sources of uncertainty would be factored. Brute force approaches are cost …
Data assimilation with reduced basis and noisy measurement: Applications to nuclear reactor cores
H Gong - 2018 - theses.hal.science
The goal of the thesis is to improve the physical and numerical interpretation of the
information involved in data assimilation with modern and efficient model reduction …
information involved in data assimilation with modern and efficient model reduction …