Direct Numerical Simulation of Turbulent Boundary Layer Flows Over a Permeable Bed Using Continuum and Pore-Resolved Approaches
ORAL
Abstract
A direct numerical simulation (DNS) is performed for a turbulent boundary layer over a porous sediment bed at permeability Reynolds number of ReK= 2.56 (Reτ=270) representative of aquatic systems. A continuum approach based on the volume-averaged Navier-Stokes (VANS) equations is used by defining smoothly varying porosity across the bed interface and modeling the drag force in the porous bed using a modified Ergun equation with Forchheimer corrections for inertial terms (Wood et al., Annual Review of Fluid Mechanics, 2020). The results from the continuum approach DNS are compared with a pore-resolved DNS in which turbulent flow over a randomly packed sediment bed is performed using a fictitious domain method to enforce the rigidity and no-slip condition on the monodispersed spherical particles representing the sediment bed. A spatially varying porosity profile generated from the pore-resolved DNS is used in the continuum approach. Mean flow and Reynolds stress statistics and net momentum exchange between the free-stream and the porous bed are compared between the two DNS studies, showing good agreement. The continuum VANS approach allows for a significant reduction in the computational costs thereby allowing to study hyporheic exchange of mass and momentum in large scale aquatic domains with combined influence of bedform and bed roughness.
*Funding from NSF #2053248 is acknowledged. This work is partially supported by the U.S. Department of Energy (DOE), Office of Biological and Environmental Research, Subsurface Biogeochemical Research (SBR) Program through the SBR Scientific Focus Area project at Pacific Northwest National Laboratory.
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Publication: A manuscript "Pore-resolved simulations of turbulent boundary layer flow over permeable and impermeable sediment beds" is submitted to Journal of Fluid Mechanics and under review.
Presenters
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Xiaoliang He
- Pacific Northwest National Laboratory