Results 21 to 30 of about 3,862 (118)
CD-ROM: Complemented Deep - Reduced order model
Computer Methods in Applied Mechanics and Engineering, 2023 Model order reduction through the POD-Galerkin method can lead to dramatic gains in terms of computational efficiency in solving physical problems. However, the applicability of the method to non linear high-dimensional dynamical systems such as the Navier-Stokes equations has been shown to be limited, producing inaccurate and sometimes unstable models.
Menier, Emmanuel +4 more
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Reduced Order Modeling with Skew-Radial Basis Functions for Time Series Prediction
Engineering Proceedings, 2023 We present a sparsity-promoting RBF algorithm for time-series prediction. We use a time-delayed embedding framework and model the function from the embedding space to predict the next point in the time series.
Manuchehr Aminian, Michael Kirby
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An Artificial Compression Reduced Order Model [PDF]
SIAM Journal on Numerical Analysis, 2020 We propose a novel artificial compression, reduced order model (AC-ROM) for the numerical simulation of viscous incompressible fluid flows. The new AC-ROM provides approximations not only for velocity, but also for pressure, which is needed to calculate forces on bodies in the flow and to connect the simulation parameters with pressure data. The new AC-
Victor DeCaria +4 more
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A Reduced Order Model for Monitoring Aeroengines Condition in Real Time
Aerospace, 2023 A very fast reduced order model is developed to monitor aeroengines condition (defining their degradation from a baseline state) in real time, by using synthetic data collected in specific sensors.
Jose Rodrigo +3 more
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Efficient high-dimensional variational data assimilation with machine-learned reduced-order models [PDF]
Geoscientific Model Development, 2022 Data assimilation (DA) in geophysical sciences remains the cornerstone of robust forecasts from numerical models. Indeed, DA plays a crucial role in the quality of numerical weather prediction and is a crucial building block that has allowed dramatic ...
R. Maulik +8 more
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Aerospace, 2021 Several classical and non-classical reduced-order nucleation rate models are presented and compared to experimental values for the homogeneous nucleation rate of CO2 in supersonic nozzles.
Philip A. Lax, Sergey B. Leonov
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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
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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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Optimal Sensor Placement in Reduced-Order Models Using Modal Constraint Conditions
Sensors, 2022 Sensor measurements of civil structures provide basic information on their performance. However, it is impossible to install sensors at every location owing to the limited number of sensors available.
Eun-Taik Lee, Hee-Chang Eun
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Reduced order models for thermally coupled low Mach flows
Advanced Modeling and Simulation in Engineering Sciences, 2018 In this paper we present a collection of techniques used to formulate a projection-based reduced order model (ROM) for zero Mach limit thermally coupled Navier–Stokes equations. The formulation derives from a standard proper orthogonal decomposition (POD)
Ricardo Reyes +3 more
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