The accurate simulation of dam break is an important issue for the mitigation of hydraulic risk and much research has been devoted to develop improved numerical methods to model the flood waves due to the failure of a dam. In the present work, an algorithm for free surface simulations with the lattice Boltzmann method (LBM) is developed. The macroscopic fluid dynamics is solved through a mesoscopic approach: all details of molecular motion are removed except those that are needed to recover the hydrodynamic behaviour at the macroscopic scale (mass, momentum and energy conservation). The main advantages with respect to the Navier Stokes are the simplicity in modelling complex geometries and the computational efficiency. The LBM is here coupled to a front-tracking approach, which is to say that the interface is explicitly tracked within the grid. Model validation is carried out on a number of dam break test cases and the results show good agreement with experimental and numerical data found in literature.

Mesoscopic modeling of dam break flow

Biscarini C.;
2010-01-01

Abstract

The accurate simulation of dam break is an important issue for the mitigation of hydraulic risk and much research has been devoted to develop improved numerical methods to model the flood waves due to the failure of a dam. In the present work, an algorithm for free surface simulations with the lattice Boltzmann method (LBM) is developed. The macroscopic fluid dynamics is solved through a mesoscopic approach: all details of molecular motion are removed except those that are needed to recover the hydrodynamic behaviour at the macroscopic scale (mass, momentum and energy conservation). The main advantages with respect to the Navier Stokes are the simplicity in modelling complex geometries and the computational efficiency. The LBM is here coupled to a front-tracking approach, which is to say that the interface is explicitly tracked within the grid. Model validation is carried out on a number of dam break test cases and the results show good agreement with experimental and numerical data found in literature.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12071/2443
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