The paper reports the extension of a Lattice Boltzmann model for the nonlinear viscous shallow water equations (NSW) and its application to the simulation of internal flood water dynamics. The solver is accelerated with the help of NVIDIAs CUDA framework to access the computational power of graphics processing units (GPGPUs). The model is validated with typical tank sloshing and cross flooding scenarios and the results are compared to analytical solutions and the results of a state-ofthe-art shallow water solver on the basis of Glimm's method. * Address all correspondence to this author. assuming a planar water surface, (ii) inviscid or viscous nonlinear shallow water (NSW) models, or (iii) full 3D Navier-Stokes (NS) models. In general, approach (i) is preferred for its computational efficiency, but does not consider complex geometries, viscous dissipation and other effects, which may occur for partly flooded compartments with large free surfaces. In contrast, model (iii) may capture the full physics but leads to very time-consuming simulations, both in the data model preparation and the simulation run time.1
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