1. Development of time-space adaptive smoothed particle hydrodynamics method with Runge-Kutta Chebyshev scheme
- Author
-
Chang Niu, Mohammed Seaid, Yong Gan, Sitong Liu, and Lisha He
- Subjects
Time delay and integration ,Chebyshev polynomials ,Computer science ,Applied Mathematics ,General Engineering ,02 engineering and technology ,01 natural sciences ,Stability (probability) ,Chebyshev filter ,010101 applied mathematics ,Smoothed-particle hydrodynamics ,Computational Mathematics ,Runge–Kutta methods ,020303 mechanical engineering & transports ,Distribution (mathematics) ,0203 mechanical engineering ,Particle ,Applied mathematics ,0101 mathematics ,Astrophysics::Galaxy Astrophysics ,Analysis - Abstract
Smoothed particle hydrodynamics (SPH) method is a Lagrangian particle method that has been widely used for solving complex mechanics problems. To reduce the SPH computational cost, the adaptive SPH (ASPH) with time-varying particle distribution has been proposed using the particle splitting and merging techniques. However, the particle splitting in the adaptive SPH results in a decreased time step due to the reduced particle spacing and thus requires an increased amount of computing time. In the present work, an explicit Runge-Kutta Chebyshev time stepping scheme is implemented within the adaptive SPH, by including the stabilizing substeps into the Runge-Kutta integration method with the use of the Chebyshev polynomials. The number of stabilizing substeps in a single SPH time step can be adaptive after particle splitting while the Runge-Kutta integration time step remains the same. Therefore, the proposed SPH algorithm is adaptive in both time and space domains. Representative example problems are simulated using the developed time-space adaptive SPH method. It is demonstrated that, as compared to the standard SPH and the conventional adaptive SPH with varying particle distribution only, the presented time-space ASPH method exhibits much higher efficiency without compromising accuracy and the superiority in terms of stability.
- Published
- 2021
- Full Text
- View/download PDF