Results 71 to 80 of about 1,899,215 (187)
The ROMES method for statistical modeling of reduced-order-model error [PDF]
, 2014 This work presents a technique for statistically modeling errors introduced by reduced-order models. The method employs Gaussian-process regression to construct a mapping from a small number of computationally inexpensive `error indicators' to a ...
Carlberg, Kevin, Drohmann, Martin
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Reduced Order Modeling and Sliding Mode Control of Active Magnetic Bearing
IEEE Access, 2019 Due to the accelerated growth in the field of power electronics and controller design techniques, the usage of the active magnetic bearing has picked up in industries. Active magnetic bearing helps the rotor to rotate freely without any physical contact.
Sudipta Saha +3 more
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Reduced‐Order Modeling for Linearized Representations of Microphysical Process Rates
Journal of Advances in Modeling Earth SystemsRepresenting cloud microphysical processes in large scale atmospheric models is challenging because many processes depend on the details of the droplet size distribution (DSD, the spectrum of droplets with different sizes in a cloud).
K. D. Lamb +3 more
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Dynamic Condensation-Based Reduction Method for Precise Broadband Frequency Analysis
MathematicsIn this paper, we propose a degree-of-freedom-based adaptive reduction method that ensures accuracy over a wide band. In the conventional dynamic condensation method, a single reduced model consisting of low-order modes is used throughout the analysis ...
Geomji Choi, Juhwan Lee, Seongmin Chang
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Reduced Order Modeling for Transonic Aeroservoelastic Control Law Development [PDF]
As aircraft become more flexible, aeroelastic considerations become increasingly important and complex, particularly for transonic flight where nonlinearities in the flow render linear analysis tools less effective.
Bartels, Robert E. +3 more
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Engineering Applications of Computational Fluid Mechanics, 2019 In this study, the boundary element method–finite element method (BEM-FEM) model is employed to investigate the sloshing and flexibility terms of elastic submerged structures on the behavior of a coupled domain.
Mohammad Ghalandari +4 more
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Reduced Order Optimal Control of the Convective FitzHugh-Nagumo Equation
, 2019 In this paper, we compare three model order reduction methods: the proper orthogonal decomposition (POD), discrete empirical interpolation method (DEIM) and dynamic mode decomposition (DMD) for the optimal control of the convective FitzHugh-Nagumo (FHN ...
Karasözen, Bülent +2 more
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Reduced Order Modeling of an Industrial Feeder Model
IFAC Proceedings Volumes, 2003 Models of glaes furnaces are described by a set of nonlinear partial differential equâtioris which govern the mass, momentum and energy balances and a numberof non-linear functions of the independent scalais which describe the dependent variables like viscosities and densities in a fluid.
Astrid, P., Weiland, S., Twerda, A.
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Projection-based reduced order modeling of an iterative scheme for linear thermo-poroelasticity
Results in Applied MathematicsThis paper explores an iterative approach to solve linear thermo-poroelasticity problems, with its application as a high-fidelity discretization utilizing finite elements during the training of projection-based reduced order models.
Francesco Ballarin +2 more
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Reduced Order Modeling Incompressible Flows [PDF]
The details: a) Need stable numerical methods; b) Round off error can be considerable; c) Not convinced modes are correct for incompressible flow. Nonetheless, can derive compact and accurate reduced-order models.
Helenbrook, B. T.
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