Výsledky vyhledávání - "Magee, Allan Ross"

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Assessment of unsteady flow predictions using hybrid deep learning based reduced order models

Autor: Bukka, Sandeep Reddy, Gupta, Rachit, Magee, Allan Ross, Jaiman, Rajeev Kumar

In this paper, we present two deep learning-based hybrid data-driven reduced order models for the prediction of unsteady fluid flows. The first model projects the high-fidelity time series data from a finite element Navier-Stokes solver to a low-dime

Externí odkaz: http://arxiv.org/abs/2009.04396

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Numerical stability and three dimensionality of a streamline hyperbolic critical point in wake at low Reynolds number

Autor: Liu, Bin, Magee, Allan Ross

In this work the numerical stability of a streamline singular hyperbolic/saddle critical point (HSP) and its relationship with the divergence of pressure force/fluid flux are numerically investigated at low Reynolds numbers. Three canonical configura

Externí odkaz: http://arxiv.org/abs/2006.05306

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Deep Convolutional Recurrent Autoencoders for Flow Field Prediction

Autor: Bukka, Sandeep Reddy, Magee, Allan Ross, Jaiman, Rajeev Kumar

In this paper, an end-to-end nonlinear model reduction methodology is presented based on the convolutional recurrent autoencoder networks. The methodology is developed in the context of the overall data-driven reduced-order model framework proposed i

Externí odkaz: http://arxiv.org/abs/2003.12147

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