Results 31 to 40 of about 6,124,322 (291)
Passivity-preserving parameterized model order reduction using singular values and matrix interpolation [PDF]
We present a parameterized model order reduction method based on singular values and matrix interpolation. First, a fast technique using grammians is utilized to estimate the reduced order, and then common projection matrices are used to build ...
Dhaene, Tom +3 more
core +1 more source
Reduced-Order Modeling of Gust Responses [PDF]
This paper describes two approaches to the construction of reduced-order models from computational fluid dynamics to predict the gust response of airfoils and wings.
Wales, Christopher +2 more
openaire +2 more sources
Reduced finite element square techniques (RFE2): towards industrial multiscale fe software [PDF]
Reduced order modeling techniques proposed by the authors are assessed for an industrial case study of a 3D reinforced composite laminate. Essentially, the main dominant strain micro-structural modes are obtained through standard reduced order modeling ...
Huespe, Alfredo Edmundo +3 more
core +3 more sources
An improved model for reduced-order physiological fluid flows
An improved one-dimensional mathematical model based on Pulsed Flow Equations (PFE) is derived by integrating the axial component of the momentum equation over the transient Womersley velocity profile, providing a dynamic momentum equation whose ...
San, Omer, Staples, Anne E.
core +1 more source
We present a Reduced Order Method approach to the heat exchange and loses in a simulated 3D cavity of CSP tower receivers. We validate the method in a 2D Boussinesq model problem for natural convection monitoring temperature, pressure and velocity for ...
Juan Valverde +5 more
doaj +1 more source
A reduced-order model of three-dimensional unsteady flow in a cavity based on the resolvent operator [PDF]
A novel reduced-order model for nonlinear flows is presented. The model arises from a resolvent decomposition in which the nonlinear advection terms of the Navier-Stokes equation are considered as the input to a linear system in Fourier space.
Blackburn, HM +4 more
core +2 more sources
Generative adversarial reduced order modelling
AbstractIn this work, we present GAROM, a new approach for reduced order modeling (ROM) based on generative adversarial networks (GANs). GANs attempt to learn to generate data with the same statistics of the underlying distribution of a dataset, using two neural networks, namely discriminator and generator.
Coscia, Dario +2 more
openaire +5 more sources
Reduced-Order Model Development for Airfoil Forced Response
Two new reduced-order models are developed to accurately and rapidly predict geometry deviation effects on airfoil forced response. Both models have significant application to improved mistuning analysis.
Jeffrey M. Brown, Ramana V. Grandhi
doaj +1 more source
Development of a Reduced Order Model for Fuel Burnup Analysis
Fuel burnup analysis requires a high computational cost for full core calculations, due to the amount of the information processed for the total reaction rates in many burnup regions. Indeed, they reach the order of millions or more by a subdivision into
Christian Castagna +4 more
doaj +1 more source
Reduced Density Matrices and Topological Order in a Quantum Dimer Model
Resonating valence bond (RVB) liquids in two dimensions are believed to exhibit topological order and to admit no local order parameter of any kind.
Grégoire Misguich +3 more
core +3 more sources

