Applying Turbulent Flow Characteristics to the Multi-Phase MPS Method

Document Type : Research Article

Authors

1 MSc. Graduate, Department of Civil and Environment Engineering, Amirkabir University, Tehran, Iran

2 Assistant Professor, Department of Civil and Environmental Engineering, Amirkabir University, Tehran, Iran

Abstract

The purpose of this paper is to put forward a new method of Multi-phase Moving Particle Semi-implicit (MP-MPS) for solving continuity and momentum equations of viscous fluid flow. MP-MPS is a Lagrangian meshless method that solves the governing differential equations of gas, fluid and solid phases, simultaneously. This method has many applications in problems of free surface flow which is due to their complex conditions and non-linear equations. Among these complexities is the need to consider the effect of turbulence. Until now, MPS method has been used widely for inviscid fluids or those with constant eddy viscosity. In this paper, the effect of turbulence closure model is investigated using Prandtl’s mixing-length theory. The enhancement of MPS model in estimating free surface flow considering the effect of turbulence is demonstrated through comparing its results with those of fluid with constant eddy viscosity and inviscid fluid for a typical dam break problem. The results obtained from the developed model show that determination of eddy viscosity of each particle in each time step based on their location and velocity is important and has a major effect on the final hydrodynamic parameters computations. In addition, results obtained through the improvement made in the numerical model have a good degree of similarity with those obtained through experiments. Also, the results indicate that applying the turbulence nature of the flow helps in obtaining a more stable solution and therefore in this case, the type of Kernel function used in MPS method has no significant effect on its stability. 

Keywords

References

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History

  • Receive Date: 03 July 2011
  • Accept Date: 02 July 2012

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