Adaptive training of local reduced bases for unsteady incompressible Navier-Stokes flows

Volume: 103, Issue: 3, Pages: 183 - 204
Published: Mar 26, 2015
Abstract
This report presents a numerical study of reduced-order representations for simulating incompressible Navier–Stokes flows over a range of physical parameters. The reduced-order representations combine ideas of approximation for nonlinear terms, of local bases, and of least-squares residual minimization. To construct the local bases, temporal snapshots for different physical configurations are collected automatically until an error indicator is...
Paper Details
Title
Adaptive training of local reduced bases for unsteady incompressible Navier-Stokes flows
Published Date
Mar 26, 2015
Volume
103
Issue
3
Pages
183 - 204
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