A terrain-following model of wave boundary layers. (December 2016)

• Record Type: Journal Article
• Authors: Yu, Jie
• Is Part Of: Ocean modelling. Volume 108(2016:Dec.)
• Page Start: 20
• Page End: 29
• Publication Date: 2016-12
• Subjects: Wave boundary layer -- Terrain-following -- Conformal map -- Periodic seabed; Oceanography -- Periodicals; Océanographie -- Périodiques; Oceanography; Periodicals; 551.46
• DOI: 10.1016/j.ocemod.2016.11.001
• Languages: English
• ISSNs: 1463-5003

Abstract

Highlights: Exact solutions of linear waves over arbitrary periodic seabed. An efficient and accurate boundary layer approximation based on conformal mapping. Explicit analytical solutions for near seabed velocities and bed stress. Relevance to coastal sediments, seabed morphology and near-bed processes. Abstract: Over a variable seabed, conventional boundary layer approximations are rendered to be inadequate because of the large variations in bed elevation in the direction of wave propagation. Applying the method of conformal transformation to map the flow domain with a corrugated boundary onto a uniform strip, we put forward a terrain-following modeling approach for Stokes boundary layer flows, accompanying the recent development of the exact Floquet theory of water waves over a generally periodic seabed. For a non-steep seabed profile, but not necessarily small undulation height compared with the water depth, we solve the vorticity equation to obtain the analytical solutions for the boundary layer velocities, bed shear stress and rate of viscous dissipation, explicitly showing the variations both across the boundary layer and along the bed. For a relatively steep bed profile, a remedy is proposed that allows the velocity profiles to be locally determined across the boundary layer avoiding solving the 2-D differential equation for the vorticity. The modeling methodology is presented here for a constant viscosity, including the case of constant eddy viscosity, but can be extended to the case of variable eddy viscosity to improve turbulence modeling.