Results 51 to 60 of about 8,027,948 (326)

Stabilizing a CFD model of an unstable system through model reduction [PDF]

open access: yesModeling, Identification and Control, 2006
We demonstate stabilization of a computational fluid dynamics model of an unstable system. The unstable heating of a two-dimensional plate is used as a case study. Active control is introduced by cooling parts of the boundaries of the plate.
Svein Hovland, Jan T. Gravdahl
doaj   +1 more source

Interpolation-based parameterized model order reduction of delayed systems [PDF]

open access: yes, 2012
Three-dimensional electromagnetic methods are fundamental tools for the analysis and design of high-speed systems. These methods often generate large systems of equations, and model order reduction (MOR) methods are used to reduce such a high complexity.
Antonini, Giulio   +5 more
core   +3 more sources

Model order reduction of linear time invariant systems [PDF]

open access: yesAdvances in Radio Science, 2008
This paper addresses issues related to the order reduction of systems with multiple input/output ports. The order reduction is divided up into two steps.
Lj. Radić-Weissenfeld   +3 more
doaj  

Model Order Reduction Technique Applied on Harmonic Analysis of a Submerged Vibrating Blade

open access: yesInternational Journal of Applied Mechanics and Engineering, 2019
As part of an ongoing study into hydropower runner failure, a submerged, vibrating blade is investigated both experimentally and numerically. The numerical simulations performed are fully coupled acoustic-structural simulations in ANSYS Mechanical.
E. Tengs   +3 more
doaj   +1 more source

Passivity-preserving parameterized model order reduction using singular values and matrix interpolation [PDF]

open access: yes, 2013
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

Transported snapshot model order reduction approach for parametric, steady‐state fluid flows containing parameter‐dependent shocks [PDF]

open access: yesInternational Journal for Numerical Methods in Engineering, 2017
A new model order reduction approach is proposed for parametric steady‐state nonlinear fluid flows characterized by shocks and discontinuities whose spatial locations and orientations are strongly parameter dependent.
Nirmal J. Nair, Maciej Balajewicz
semanticscholar   +1 more source

Arnoldi model order reduction for electromagnetic wave scattering computation [PDF]

open access: yes, 2007
This paper presents a model order reduction (MOR) algorithm for the volume integral equation formulation of electromagnetic wave scattering. We apply the Arnoldi algorithm to circumvent the computational complexity associated with the numerical solution ...
Bradley, Patrick   +2 more
core   +1 more source

Real-time simulation of the transplanted tooth using model order reduction

open access: yesFrontiers in Bioengineering and Biotechnology, 2023
The biomechanics of transplanted teeth remain poorly understood due to a lack of models. In this context, finite element (FE) analysis has been used to evaluate the influence of occlusal morphology and root form on the biomechanical behavior of the ...
Pierre Lahoud   +20 more
doaj   +1 more source

ORDER REDUCTION OF DAE MODELS [PDF]

open access: yesIFAC Proceedings Volumes, 2005
Abstract This report outlines a technique for the order reduction of differential algebraic equations (DAEs). The order reduction is accomplished in two steps. First, algebraic states are partitioned into successive implicit sets of variables and equations by reconstructing the sparsity pattern into lower triangular block form.
John D. Hedengren, Thomas F. Edgar
openaire   +1 more source

Stability-preserving model order reduction for linear stochastic Galerkin systems

open access: yesJournal of Mathematics in Industry, 2019
Mathematical modeling often yields linear dynamical systems in science and engineering. We change physical parameters of the system into random variables to perform an uncertainty quantification.
Roland Pulch
doaj   +1 more source

Home - About - Disclaimer - Privacy