Variational assimilation of sparse time-averaged data for efficient adjoint-based optimization of unsteady RANS simulations

DOI10.1016/J.CMA.2024.117052MaRDI QIDQ6557815

Patrick Jenny, Justin Plogmann, Oliver Brenner

Publication date: 18 June 2024

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

zbMATH Keywords

vortex sheddingdata assimilationsparseURANSdiscrete adjoint

Mathematics Subject Classification ID

Finite volume methods applied to problems in fluid mechanics (76M12) Flow control and optimization for incompressible viscous fluids (76D55) Finite volume methods for initial value and initial-boundary value problems involving PDEs (65M08)

Cites Work

• Turbulent flow around a square cylinder at Reynolds number 22,000: a DNS study
• An aerodynamic design optimization framework using a discrete adjoint approach with OpenFOAM
• Efficient assimilation of sparse data into RANS-based turbulent flow simulations using a discrete adjoint method
• The bleeps, the sweeps, and the creeps: convergence rates for dynamic observer patterns via data assimilation for the 2D Navier-Stokes equations
• Discrete adjoint of fractional-step incompressible Navier-Stokes solver in curvilinear coordinates and application to data assimilation
• A random matrix approach for quantifying model-form uncertainties in turbulence modeling
• Output-based error estimation and mesh adaptation for unsteady turbulent flow simulations
• A data-assimilation method for Reynolds-averaged Navier–Stokes-driven mean flow reconstruction
• Turbulence modeling using body force potentials
• Review of the shear-stress transport turbulence model experience from an industrial perspective
• Gmsh: A 3-D finite element mesh generator with built-in pre- and post-processing facilities
• Turbulent Flows
• Turbulence Modeling in the Age of Data
• Dimensionality reduction for regularization of sparse data-driven RANS simulations
• Hierarchical regularization of solution ambiguity in underdetermined inverse and optimization problems
• A variational data assimilation approach for sparse velocity reference data in coarse RANS simulations through a corrective forcing term

This page was built for publication: Variational assimilation of sparse time-averaged data for efficient adjoint-based optimization of unsteady RANS simulations

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6557815)