2D OpenFOAM simulations of flow over several idealistic dune profiles using the RNG k-epsilon turbulence model

Using computational fluid dynamics, we analyze the error trends of an analytical shear stress distribution model used to drive aeolian transport for coastal dunes, which are an important line of defense against storm-related flooding hazards. Additionally, two data-driven approaches (i.e., symbolic regression and projection-based, non-intrusive reduced-order modeling) are proposed for reducing the error while maintaining computational efficiency.