Calibration of projection-based reduced-order models for unsteady compressible flows
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Publication:2120780
DOI10.1016/j.jcp.2021.110196OpenAlexW3049364105MaRDI QIDQ2120780
Publication date: 1 April 2022
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2008.06123
proper orthogonal decompositionmodel calibrationGalerkin projectionreduced-order modelingleast-squares Petrov-Galerkin
Turbulence (76Fxx) Basic methods in fluid mechanics (76Mxx) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65Mxx)
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Consistency of the full and reduced order models for evolve‐filter‐relax regularization of convection‐dominated, marginally‐resolved flows ⋮ Adaptive sparse interpolation for accelerating nonlinear stochastic reduced-order modeling with time-dependent bases ⋮ Data-driven closure of projection-based reduced order models for unsteady compressible flows ⋮ Full and reduced order model consistency of the nonlinearity discretization in incompressible flows
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