Results 51 to 60 of about 1,899,215 (187)
Estimating flow fields with reduced order models
Heliyon, 2023 The estimation of fluid flows inside a centrifugal pump in realtime is a challenging task that cannot be achieved with long-established methods like CFD due to their computational demands. We use a projection-based reduced order model (ROM) instead.
Kamil David Sommer +4 more
openaire +4 more sources
Mathematical and Computational Applications, 2019 In the following paper, we consider the problem of constructing a time stable reduced order model of the 3D turbulent and incompressible Navier–Stokes equations.
Nissrine Akkari +2 more
doaj +1 more source
Reduced-Order Modeling based on Approximated Lax Pairs [PDF]
, 2012 A reduced-order model algorithm, based on approximations of Lax pairs, is proposed to solve nonlinear evolution partial differential equations. Contrary to other reduced-order methods, like Proper Orthogonal Decomposition, the space where the solution is
Gerbeau, Jean-Frédéric +1 more
core +3 more sources
Non-Intrusive Reduced-Order Modeling Based on Parametrized Proper Orthogonal Decomposition
Energies, 2023 A new non-intrusive reduced-order modeling method based on space-time parameter decoupling for parametrized time-dependent problems is proposed. This method requires the preparation of a database comprising high-fidelity solutions.
Teng Li +4 more
doaj +1 more source
Reduced Order Modeling for Nonlinear PDE-constrained Optimization using Neural Networks
, 2019 Nonlinear model predictive control (NMPC) often requires real-time solution to optimization problems. However, in cases where the mathematical model is of high dimension in the solution space, e.g.
Christiansen, Lasse Hjuler +3 more
core +1 more source
Reduced Order Podolsky Model [PDF]
Brazilian Journal of Physics, 2016 We perform the canonical and path integral quantizations of a lower-order derivatives model describing Podolsky's generalized electrodynamics. The physical content of the model shows an auxiliary massive vector field coupled to the usual electromagnetic field.
openaire +2 more sources
Reduced-Order Modeling of a Lithium-Ion Lithium Iron Phosphate Battery
Chemical Engineering Transactions, 2021 Battery energy storage systems are essential for stabilizing the intermittent power generation of renewable energy (RE) technologies. Their integration into RE systems is typically studied using energy systems modeling software that utilize either ...
Michael T. Castro, Joey D. Ocon
doaj +1 more source
Determining Reduced Order Models for Optimal Stochastic Reduced Order Models
, 2015 The use of parameterized reduced order models(PROMs) within the stochastic reduced order model (SROM) framework is a logical progression for both methods. In this report, five different parameterized reduced order models are selected and critiqued against the other models along with truth model for the example of the Brake-Reuss beam. The models are: a
Matthew Bonney, Matthew Brake
openaire +2 more sources
Reduced-Order Modeling of Diffusive Effects on the Dynamics of Bubbles [PDF]
, 2003 The Rayleigh-Plesset equation and its extensions have been used extensively to model spherical bubble dynamics, yet radial diffusion equations must be solved to correctly capture damping effects due to mass and thermal diffusion.
Brennen, C. E. +2 more
core
Full- & Reduced-Order State-Space Modeling of Wind Turbine Systems with Permanent-Magnet Synchronous Generator [PDF]
, 2018 Wind energy is an integral part of nowadays energy supply and one of the fastest growing sources of electricity in the world today. Accurate models for wind energy conversion systems (WECSs) are of key interest for the analysis and control design of ...
Hackl, Christoph M. +4 more
core +3 more sources