4 papers
Sparse data assimilation for under-resolved large-eddy simulations
Justin Plogmann, Oliver Brenner, Patrick Jenny
The need for accurate and fast scale-resolving simulations of fluid flows, where turbulent dispersion is a crucial physical feature, is evident. Large-eddy simulations (LES) are co…
Spectral adjoint-based assimilation of sparse data in unsteady simulations of turbulent flows
Justin Plogmann, Oliver Brenner, Patrick Jenny
The URANS equations provide a computationally efficient tool to simulate unsteady turbulent flows for a wide range of applications. To account for the errors introduced by the turb…
Variational assimilation of sparse time-averaged data for efficient adjoint-based optimization of unsteady RANS simulations
Justin Plogmann, Oliver Brenner, Patrick Jenny
Data assimilation (DA) plays a crucial role in extracting valuable information from flow measurements in fluid dynamics problems. Often only time-averaged data is available, which…
A variational data assimilation approach for sparse velocity reference data in coarse RANS simulations through a corrective forcing term
Oliver Brenner, Justin Plogmann, Pasha Piroozmand +1
The Reynolds-averaged Navier-Stokes (RANS) equations provide a computationally efficient method for solving fluid flow problems in engineering applications. However, the use of clo…