International journal of computational fluid dynamics real-time prediction of unsteady flow based on POD reduced-order model and particle filter

DOI10.1080/10618562.2016.1198782OpenAlexW2460571656MaRDI QIDQ5073678

Shigeru Obayashi, Takashi Misaka, Ryota Kikuchi

Publication date: 3 May 2022

Published in: International Journal of Computational Fluid Dynamics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10618562.2016.1198782

zbMATH Keywords

proper orthogonal decompositiondata assimilationparticle filterreduced-order modelvon Karman vortex streets

Mathematics Subject Classification ID

Fluid mechanics (76-XX) Relativity and gravitational theory (83-XX)

Related Items (3)

A POD-based reduced-order model for uncertainty analyses in shallow water flows ⋮ Space-time adaptive model order reduction utilizing local low-dimensionality of flow field ⋮ Real-time estimation and prediction of unsteady flows using reduced-order models coupled with few measurements

Uses Software

• EnKF

Cites Work

• Reduced-order models for control of fluids using the eigensystem realization algorithm
• Strong and weak constraint variational assimilations for reduced order fluid flow modeling
• Calibrated reduced-order POD-Galerkin system for fluid flow modelling
• Optimal control of the cylinder wake in the laminar regime by trust-region methods and POD reduced-order models
• Human face recognition based on multidimensional PCA and extreme learning machine
• An intrinsic stabilization scheme for proper orthogonal decomposition based low-dimensional models
• Calibration of POD reduced‐order models using Tikhonov regularization
• A POD reduced-order 4D-Var adaptive mesh ocean modelling approach
• Turbulence and the dynamics of coherent structures. I. Coherent structures
• The need for a pressure-term representation in empirical Galerkin models of incompressible shear flows
• Low-order modelling of shallow water equations for sensitivity analysis using proper orthogonal decomposition
• A POD-based reduced-order finite difference extrapolating model with fully second-order accuracy for non-stationary Stokes equations

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