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Article Dans Une Revue Experiments in Fluids Année : 2022

Detection method for shock-waves in viscous flows

Résumé

Shock waves in viscous flows present thick and diffuse shock layers that merge with the boundary layer. These specific characteristics make detection and analysis difficult and inaccurate. To improve shock-wave detection, a method based on Fourier self-deconvolution (FSD) is presented in this paper. Test cases consider a concrete application with a test case obtained in a supersonic rarefied flow around a cylinder. In a first step, the method was validated with numerical flow fields calculated with the DS2V code based on a Monte Carlo algorithm. Then, the FSD method was applied to experimental flows operating at Mach 2 and Mach 4 in the low-density MARHy facility. The experimental flow fields were measured using the glow discharge technique, and shock-wave detection was validated against pressure profiles measured with a Pitot tube. The proposed method makes it possible to identify three characteristic zones of the shock: the shock foot, its centre and the maximum density zone, making it possible to deduce its thickness and obtain a precise estimation of the standoff distance. In addition to being completely non-intrusive, the method appears to be parameter free, robust and easy to implement.
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Dates et versions

hal-03505173 , version 1 (30-12-2021)

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Léo Kovacs, Pierre-Yves Passaggia, Nicolas Mazellier, Viviana Lago. Detection method for shock-waves in viscous flows. Experiments in Fluids, 2022, 63 (1), pp.11:1-16. ⟨10.1007/s00348-021-03360-y⟩. ⟨hal-03505173⟩
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