PIV Data Assimilation

Main Results of the Second DA Challenge

A. Schröder(1,5), P. Godbersen(1), D. Schanz(1), A. Sciacchitano(2), A.G. Guerra(2), S. Grauer(3), B. Leclaire(4)

1: Inst. of Aerodynamics and Flow Technology, German Aerospace Center (DLR), Germany
2: Faculty of Aerospace Engineering, Delft University of Technology, Delft, The Netherlands
3: Dept. of Mechanical Engineering, Pennsylvania State University, United States
4: DAAA, ONERA, Institut Polytechnique de Paris, 92190, Meudon, France
5: Chair of Image Based Measurement Techniques, Brandenburg University of Technology (BTU), Cottbus, Germany ∗Corresponding author: andreas.schroeder@dlr.de

High-Fidelity 4D Flow Assimilation via Hard-Constrained Pseudo-Spectral Meshless Track Assimilation

P. Sperotto, N. Gade-Nielsen, D. Hess

Dantec Dynamics A/S, Denmark

A meshless data-tailored approach to compute statistics from scattered data with adaptive radial basis functions

D. Rigutto(1,2), M. Ratz(1,3), M.A. Mendez(1,3,4)

1: Environmental and Applied Fluid Dynamics, von Karman Institute for Fluid Dynamics, Waterloosesteenweg 72, Sint-Genesius-Rode,1640,Belgium
2: Transferts, Interfaces Et Procédés (TIPs), Université Libre de Bruxelles, Av. Franklin Roosevelt 50, Brussels, 1050, Belgium
3: Aero-Thermo-Mechanics Laboratory, Ecole Polytechnique de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium
4: Experimental Aerodynamics and Propulsion Lab, Universidad Carlos III de Madrid, Leganés, Spain