On-site aerodynamics using stereoscopic PIV and deep optical flow learning
Mohamed Elrefaie,
Steffen Hüttig,
Mariia Gladkova
et al.
Abstract:We introduce recurrent all-pairs field transforms for stereoscopic particle image velocimetry (RAFT-StereoPIV). Our approach leverages deep optical flow learning to analyze time-resolved and double-frame particle images from on-site measurements, particularly from the ‘Ring of Fire,’ as well as from wind tunnel measurements for fast aerodynamic analysis. A multi-fidelity dataset comprising both Reynolds-averaged Navier–Stokes (RANS) and direct numerical simulation (DNS) was used to train our model. RAFT-Stereo… Show more
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