Influence of the Kernel Function Characteristics on the Stability of Pressure Solution of Moving Particle Semi-Implicit Method[J]. 2019, 53(9): 1-6+25.
DOI:
Influence of the Kernel Function Characteristics on the Stability of Pressure Solution of Moving Particle Semi-Implicit Method[J]. 2019, 53(9): 1-6+25.DOI: 10.7652/xjtuxb201909001.
Influence of the Kernel Function Characteristics on the Stability of Pressure Solution of Moving Particle Semi-Implicit Method
moving particle semi-implicit method(MPS)is widely used for analy-ing unsteady flow with free surface.However
a certain degree of pressure fluctuation may occur when solving a specific problem.In this paper
the influence of the shape feature of the kernel function curve on the stability of pressure solution in MPS is analy-ed.An exponential polynomial kernel function is constructed
which is verified by a typical static pressure example(hydrostatic pressure problem)and a dynamic pressure example(liquid sloshing problem).Simulation is conducted and the results are compared with the theoretical solution or experimental results.It is found that the improved kernel function can effectively suppress the pressure oscillation in the simulation process.Studies have shown that the shape features of the ratio of the kernel function to the corresponding particle number density can truly reflect the interaction between particles and play a vital role in the analysis o
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