Doctor of Philosophy (Ph.D.)
Degree Granting Department
Civil and Environmental Engineering
Andrés E. Tejada-Martínez, Ph.D.
Yuncheng You, Ph.D.
Yuncheng You, Ph.D.
Rasim Guldiken, Ph.D.
Autar Kaw, Ph.D.
Daniel C. Simkins, Jr., Ph.D.
Computational Fluid Dynamics, Finite element method, Iso-geometric analysis, Large Eddy Simulation, RBVMS method, Wall-Modelling
Large-eddy simulation (LES) of wind and wave forced oceanic turbulent boundary layers is performed using the residual-based variational multiscale method (RBVMS) and near-wall modeling. Wind and surface gravity wave forcing generates Langmuir turbulence characterized by Langmuir circulation (LC) with largest scales consisting of streamwise vortices aligned in the direction of the wind, acting as a secondary flow structure to the primary wind-driven component of the flow. The LES here is representative of a shallow water continental shelf flow (10 to 30 meters in depth) far from lateral boundaries in which LC engulfs the full depth of the water column and disrupts the bottom log layer. Field measurements indicate that occurrence of full-depth LC is typical during the passage of storms. The RBVMS method with quadratic NURBS (Non-Uniform Rational B-splines) with near-wall resolution is shown to possess good convergence characteristics for this flow. The use of near-wall modeling facilitates simulations with expanded domains over horizontal directions. Thus, these simulations are able to resolve multiple Langmuir cells permitting analysis of the interaction between the cells. Results in terms of velocity statistics are presented from simulations performed with various domain sizes and distinct near-wall treatments: (1) the classical treatment based on prescription of the wall shear stress assuming a law of the wall and (2) a recent treatment based on weak imposition of the no-slip bottom boundary condition.
Scholar Commons Citation
Golshan, Roozbeh, "Residual-based Variational Multiscale LES with Wall-modeling for Oceanic Boundary Layers in Shallow Water" (2014). Graduate Theses and Dissertations.