Investigating the use of 3-component - 2-dimensional particle image velocimetry fields as inflow boundary condition for the direct numerical simulation of turbulent channel flow Article Swipe
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· 2023
· Open Access
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· DOI: https://doi.org/10.21203/rs.3.rs-3358236/v1
· OA: W4386954494
<title>Abstract</title> Direct numerical simulation (DNS) of turbulent wall-bounded flows requires long streamwise computational domains to establish the correct spatial evolution of large-scale structures with high fidelity. In contrast, experimental measurements can relatively easily capture large-scale structures but struggle to resolve the dissipative flow scales with high fidelity. One methodology to overcome the shortcomings of each approach is via a data assimilation process which combines the strengths of DNS with experimental measurements by using experimental velocity field measurements as the inflow to a DNS of a convective turbulent wall-bounded shear flow to reduce the spatial streamwise domain and accelerate the DNS to the proper development of the large-scale structures. To this end, this paper reports the results of an investigation to establish the impact of limited spatial resolution and limited near-wall experimental inflow data on the DNS of a wall-bounded turbulent shear flow. Specifically, this study investigates the spatial extent required for the DNS of a turbulent channel flow to recover the turbulent velocity fluctuations and energy when experimental inflow data is typically unable to capture fluctuations down to the viscous sub-layer or the smallest viscous scales (i.e. the Kolmogorov scale or their surrogate viscous scale in wall-bounded turbulent shear slows) is used as the inflow to a DNS. A time-resolved numerically generated experimental field is constructed from a periodic channel flow DNS (PCH-DNS) at Reτ = 550 and 2,300, which is subsequently used as the inflow velocity field for an inflow-outflow boundary conditions DNS (IOCH-DNS). The time-resolved experimental inflow field is generated by appropriately filtering the small scales from the PCH-DNS velocity by integrating over a spatial domain that is representative of a particle image velocimetry (PIV) interrogation window. This study shows that the recovery of small scales requires a longer domain as the spatial resolution at the inflow decreases with all flow scales recovered and their correct scale-dependent energy is re-established once the flow has developed for 3 channel heights.
