2D simulation of granular flow over irregular steep slopes using global and local coordinates

In this work approximate augmented Riemann solvers are formulated providing appropriate numerical schemes for mathematical models of granular flow on irregular steep slopes. Fluxes and source terms are discretized to ensure steady state configurations including correct modeling of start/stop flow co...

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Detalles Bibliográficos
Autores: Juez, Carmelo, Murillo, Javier, García-Navarro, Pilar
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2013
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/343842
Acceso en línea:http://hdl.handle.net/10261/343842
Access Level:acceso abierto
Palabra clave:Weak solutions
Well-balanced approach
Roe methods
Mud/Debris flow
Stability region
Wet/dry front
Shallow water systems
Coulomb stress
Stopping conditions
Gravity components
Local coordinates
Global coordinates
Descripción
Sumario:In this work approximate augmented Riemann solvers are formulated providing appropriate numerical schemes for mathematical models of granular flow on irregular steep slopes. Fluxes and source terms are discretized to ensure steady state configurations including correct modeling of start/stop flow conditions, both in a global and a local system of coordinates. The weak solutions presented involve the effect of bed slope in pressure distribution and frictional effects by means of the adequate gravity acceleration components. The numerical solvers proposed are first tested against 1D cases with exact solution and then their results are compared with experimental data in order to check the suitability of the mathematical models described in this work. Comparisons between results provided when using global and local system of coordinates are presented. The obtained results point out that both the global and the local system of coordinates can be used to predict faithfully the overall behavior of the phenomena considered in this work.