Results 31 to 40 of about 4,521,373 (282)
Passivity-preserving parameterized model order reduction using singular values and matrix interpolation [PDF]
, 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
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Multiphase flow applications of nonintrusive reduced-order models with Gaussian process emulation
Data-Centric Engineering, 2022 Reduced-order models (ROMs) are computationally inexpensive simplifications of high-fidelity complex ones. Such models can be found in computational fluid dynamics where they can be used to predict the characteristics of multiphase flows.
Themistoklis Botsas +3 more
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Frontiers in Physiology, 2022 Pulmonary arterial hypertension (PAH) is associated with substantial remodeling of the right ventricle (RV), which may at first be compensatory but at a later stage becomes detrimental to RV function and patient survival.
Oscar O. Odeigah +3 more
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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
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Probabilistic Rotor Life Assessment Using Reduced Order Models
Shock and Vibration, 2009 Probabilistic failure assessments for integrally bladed disks are system reliability problems where a failure in at least one blade constitutes a rotor system failure.
Brian K. Beachkofski
doaj +1 more source
Sensors, 2022 The problem of fault identification in electric servo actuators of robot manipulators described by nonstationary nonlinear dynamic models under disturbances is considered. To solve the problem, sliding mode observers are used.
Alexander Zuev +3 more
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Low-Order Electrochemical State Estimation for Li-Ion Batteries
Algorithms, 2023 Batteries are complex systems involving spatially distributed microscopic mechanisms on different time scales whose adequate interplay is essential to ensure a desired functioning.
Higuatzi Moreno, Alexander Schaum
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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
Nonlinear reduced order models for elastic structures
St. Petersburg Polytechnical University Journal: Physics and MathematicsThe problem of synthesizing the reduced-order dynamic models for continuous elastic systems in a geometrically nonlinear formulation (primarily thin-walled structures) based on the finite element method is considered.
Lukin Aleksei +3 more
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Regularization method for calibrated POD reduced-order models
MATEC Web of Conferences, 2014 In this work we present a regularization method to improve the accuracy of reduced-order models based on Proper Orthogonal Decomposition. The bench mark configuration retained corresponds to a case of relatively simple dynamics: a two-dimensional flow ...
El Majd Badr Abou, Cordier Laurent
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