2024
DOI: 10.21203/rs.3.rs-3875828/v1
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Real-time and 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 ParticleImage Velocimetry (RAFT-StereoPIV). Our approach leverages deep optical flowlearning to analyze time-resolved and double-frame particle images from on-sitemeasurements, particularly from the 'Ring of Fire,' as well as from wind tunnelmeasurements for real-time aerodynamic analysis. A multi-fidelity datasetcomprising both Reynolds-Averaged Navier-Stokes (RANS) and Direct NumericalSimulation (DNS) was used to train our model. RAFT-StereoP… Show more

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“…Assuming that the flow incompressible, thus divergence free ∇¨u " 0, equation 4 can be substituted in equation 5 resulting in: ∇ 2 p " ´ρ∇ ¨pu ¨∇qu (6) In this project the assumption is made, that the flow is sufficiently 2D in order to apply the 2D-Pressure Poisson equation and equation 5 can be written in Cartesian form, in order to calculate the pressure gradient from in-plane velocity and acceleration van Oudheusde (31):…”
Section: Drag Calculationmentioning
confidence: 99%
“…Assuming that the flow incompressible, thus divergence free ∇¨u " 0, equation 4 can be substituted in equation 5 resulting in: ∇ 2 p " ´ρ∇ ¨pu ¨∇qu (6) In this project the assumption is made, that the flow is sufficiently 2D in order to apply the 2D-Pressure Poisson equation and equation 5 can be written in Cartesian form, in order to calculate the pressure gradient from in-plane velocity and acceleration van Oudheusde (31):…”
Section: Drag Calculationmentioning
confidence: 99%