A 4DVar PIV-data assimilation for flow spatio-temporal reconstruction

Alejandro Gronskis (1) , Cordelia Robinson (2) , Dominique Heitz (2) , Etienne Mémin (2)

1 Laboratorio de Fluidodinámica [Buenos Aires]
2 FLUMINANCE - Fluid Flow Analysis, Description and Control from Image Sequences

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.

Domaines: Modélisation et simulation; Mécanique des fluides [physics.class-ph]; Traitement du signal et de l'image [eess.SP]

Alejandro Gronskis, Cordelia Robinson, Dominique Heitz, Etienne Mémin. A 4DVar PIV-data assimilation for flow spatio-temporal reconstruction. 10TH INTERNATIONAL SYMPOSIUM ON PARTICLE IMAGE VELOCIMETRY - PIV13, Jul 2013, Delft, Netherlands. , 2013. ⟨hal-01222206⟩