A hybrid stabilization approach for reduced‐order models of compressible flows with shock‐vortex interaction
Sign Up to like & getrecommendations! 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
Spurious regressions with high-order models: A reconsideration
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Special Issue on Reduced Order Models in CFD
Sign Up to like & getrecommendations! 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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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
Regularized Local Multivariate Reduced-Order Models With Nonaffine Parameter Dependence
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Microwave Theory and Techniques"
DOI: 10.1109/tmtt.2019.2906303
Abstract: This paper addresses a singular problem, not yet discussed in the literature, which occurs when parametric reduced-order models are created using a subspace projection approach with multiple concatenated projection bases. We show that this technique… read more here.
Keywords: reduced order; order; multivariate reduced; projection ... See more keywords
A comparative study of integral order and fractional order models for estimating state-of-charge of lithium-ion battery
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Powertrains"
DOI: 10.1504/ijpt.2020.108409
Abstract: Battery state estimation is a key technology for battery management systems for electric vehicles, and state-of-charge (SOC) estimation of battery is the basis for numerous state estimations. In this paper, five fractional order equivalent circuit… read more here.
Keywords: state charge; order; fractional order; battery ... See more keywords