Results 31 to 40 of about 6,100,810 (194)
A reduced-order model of diffusive effects on the dynamics of bubbles [PDF]
, 2007 We propose a new reduced-order model for spherical bubble dynamics that accurately captures the effects of heat and mass diffusion. The objective is to reduce the full system of partial differential equations to a set of coupled ordinary differential ...
Brennen, C. E. +2 more
core +1 more source
Reduced-Order Model Development for Airfoil Forced Response
International Journal of Rotating Machinery, 2008 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
Balanced Truncation of Networked Linear Passive Systems [PDF]
, 2019 This paper studies model order reduction of multi-agent systems consisting of identical linear passive subsystems, where the interconnection topology is characterized by an undirected weighted graph.
Besselink, Bart +2 more
core +4 more sources
Reduced-Order Modeling of Gust Responses [PDF]
Journal of Aircraft, 2017 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
Induction motor speed control using reduced-order model
Automatika, 2018 Induction machines have a highly nonlinear model with only partial state information. The unavailability of all states and the presence of unknown disturbances make controller design and proving closed-loop stability challenging tasks.
A. Sabir, S. Ibrir
doaj +1 more source
SolarPACES Conference Proceedings, 2023 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
Generative adversarial reduced order modelling
Scientific ReportsAbstractIn 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
Coupling the reduced-order model and the generative model for an importance sampling estimator
, 2019 In this work, we develop an importance sampling estimator by coupling the reduced-order model and the generative model in a problem setting of uncertainty quantification.
Wan, Xiaoliang, Wei, Shuangqing
core +1 more source
Development of a Reduced Order Model for Fuel Burnup Analysis
Energies, 2020 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
An improved model for reduced-order physiological fluid flows
, 2012 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