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   Articles with "order models" as a keyword



A hybrid stabilization approach for reduced‐order models of compressible flows with shock‐vortex interaction

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recommendations! Published in 2019 at "International Journal for Numerical Methods in Engineering"

DOI: 10.1002/nme.6281

Abstract: Model order reduction approaches, such as proper orthogonal decomposition (POD)‐Galerkin projection, provide a systematic manner to construct Reduced‐Order Models (ROM) from pregenerated high‐fidelity datasets. The current study focuses on the stabilization of ROMs built from… read more here.

Keywords: order; method; reduced order; order models ... See more keywords

Enhancing non-intrusive reduced-order models with space-dependent aggregation methods

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recommendations! Published in 2024 at "Acta Mechanica"

DOI: 10.1007/s00707-024-04007-9

Abstract: In this manuscript, we combine non-intrusive reduced-order models (ROMs) with space-dependent aggregation techniques to build a mixed-ROM, able to accurately capture the flow dynamics in different physical settings. The flow prediction obtained using the mixed… read more here.

Keywords: usepackage; order models; space dependent; reduced order ... See more keywords
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Spurious regressions with high-order models: A reconsideration

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recommendations! Published in 2018 at "Economics Letters"

DOI: 10.1016/j.econlet.2018.04.007

Abstract: Abstract This paper reconsiders spurious regressions with high-order processes by using a balanced regression approach. Results show that if the balanced orders adopted in a regression model are greater than the truly largest lag of… read more here.

Keywords: high order; regressions high; spurious regressions; models reconsideration ... See more keywords

Layered reduced-order models for nonlinear aerodynamics and aeroelasticity

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recommendations! Published in 2017 at "Journal of Fluids and Structures"

DOI: 10.1016/j.jfluidstructs.2016.10.011

Abstract: Abstract A layered reduced-order modeling approach for nonlinear unsteady aerodynamics comprising both linear and nonlinear characteristics is developed. The constructed reduced-order model (ROM) with a parallel connection structure is composed of a linear surrogate model… read more here.

Keywords: reduced order; layered reduced; model; aerodynamics ... See more keywords

Development and implementation of geometrically accurate reduced-order models: Convergence properties of planar beams

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recommendations! Published in 2019 at "Journal of Sound and Vibration"

DOI: 10.1016/j.jsv.2018.06.005

Abstract: Abstract A geometrically accurate infinitesimal-rotation planar beam element is developed and implemented in this study. The performance of the element, which is suited for developing reduced-order models for both structural and multibody systems (MBS), is… read more here.

Keywords: reduced order; convergence; element; order models ... See more keywords

Jacobian projection reduced-order models for dynamic systems with contact nonlinearities

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recommendations! Published in 2018 at "Mechanical Systems and Signal Processing"

DOI: 10.1016/j.ymssp.2017.07.049

Abstract: Abstract In structural dynamics, the prediction of the response of systems with localized nonlinearities, such as friction dampers, is of particular interest. This task becomes especially cumbersome when high-resolution finite element models are used. While… read more here.

Keywords: projection reduced; reduced order; order; jacobian projection ... See more keywords

Utilizing ensemble Kalman filtering in proper orthogonal decomposition Galerkin reduced-order models for turbulent flow prediction

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recommendations! Published in 2025 at "Physics of Fluids"

DOI: 10.1063/5.0248576

Abstract: Developing reduced-order models for turbulent flow prediction is essential for engineering applications. This research introduces a reduced-order model based on the ensemble Kalman filter (EnKF) approach, designed to refine the ordinary differential equation constants in… read more here.

Keywords: order models; models turbulent; reduced order; galerkin ... See more keywords

Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process

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recommendations! Published in 2021 at "Journal of the Royal Society of New Zealand"

DOI: 10.1080/03036758.2020.1863237

Abstract: ABSTRACT This paper derives predictive reduced-order models for rocket engine combustion dynamics via Operator Inference, a scientific machine learning approach that blends data-driven learning with physics-based modelling. The non-intrusive nature of the approach enables variable… read more here.

Keywords: reduced order; operator; order models; operator inference ... See more keywords

Three-level designs under second order models

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recommendations! Published in 2021 at "Quality Engineering"

DOI: 10.1080/08982112.2021.1969579

Abstract: Abstract In this paper, the properties of three-level screening designs are studied. A variety of designs are included, such as the definitive screening designs and designs from weighing matrices. These are compared with designs with… read more here.

Keywords: second order; level; level designs; designs second ... See more keywords
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Special Issue on Reduced Order Models in CFD

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recommendations! Published in 2020 at "International Journal of Computational Fluid Dynamics"

DOI: 10.1080/10618562.2020.1756497

Abstract: Reduced Order Models (ROMs), also known as Reduced Basis Methods (RBMs), have received considerable attention in recent years for their ability to drastically reduce CFD cost, particularly when dealing with parametrised problems in a multi-query… read more here.

Keywords: reduced order; fluid dynamics; issue; special issue ... See more keywords

Balanced Reduced-Order Models for Iterative Nonlinear Control of Large-Scale Systems

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recommendations! Published in 2021 at "IEEE Control Systems Letters"

DOI: 10.1109/lcsys.2020.3042835

Abstract: We propose a new framework to design controllers for high-dimensional nonlinear systems. The control is designed through the iterative linear quadratic regulator (ILQR), an algorithm that computes control by iteratively applying the linear quadratic regulator… read more here.

Keywords: reduced order; control; balanced reduced; models iterative ... See more keywords