A method to extract macroscopic interface data from microscale rough/porous wall flow fields
Vedanth N Kuchibhotla, Sujit Kumar Sahoo, Y. Sudhakar

TL;DR
This paper introduces an efficient averaging method combining signal processing and polynomial interpolation to extract macroscopic interface data from microscale flow fields over rough and porous walls, aiding model validation.
Contribution
The proposed technique is cost-effective, works for poroelastic walls where ensemble averaging fails, and applies to both viscous and inertia-dominated flows over irregular surfaces.
Findings
Accurately extracts macroscopic interface data from microscale flow fields.
Outperforms ensemble averaging in cost and applicability, especially for poroelastic walls.
Applicable to a wide range of flow regimes over complex surfaces.
Abstract
Performing geometry-resolved simulations of flows over rough and porous walls is highly expensive due to their multiscale characteristics. Effective models that circumvent this difficulty are often used to investigate the interaction between the free-fluid and such complex walls. These models, by construction, employ an intrinsic averaging process and capture only macroscopic physical processes. However, physical experiments or direct simulations yield micro- and macroscale information, and isolating the macroscopic effect from them is crucial for rigorously validating the accuracy of effective models. Despite the increasing use of effective models, this aspect received the least attention in the literature. This paper presents an efficient averaging technique to extract macroscopic interface data from the flowfield obtained via direct simulations or physical experiments. The proposed…
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Taxonomy
TopicsFluid Dynamics and Turbulent Flows · Lattice Boltzmann Simulation Studies · Fluid Dynamics and Vibration Analysis
