A 4DVar PIV-data assimilation for flow spatio-temporal reconstruction
Résumé
A variational data assimilation technique (4DVar) was used to reconstruct turbulent flows (Gronskis et al., 2013). The problem consists in recovering a flow by modifying the initial and inflow conditions of a system composed of a DNS code coupled with some noisy and possibly incomplete PIV measurements. In the present study the ability of the technique to reconstruct flow in gappy PIV data was investigated.
Format : Poster
Origine : Fichiers produits par l'(les) auteur(s)
Origine : Fichiers produits par l'(les) auteur(s)