SIMULATION OF COMPRESSIBLE AND INCOMPRESSIBLE FLOWS BY MESHLESS METHODS OF SMOOTHED PARTICLE HYDRODYNAMICS

Author(s):  
S. M. FROLOV ◽  
◽  
V. S. IVANOV ◽  
Vas. S. IVANOV ◽  
R. R. TUKHVATULLINA ◽  
...  

At present, when solving problems of hydrodynamics of viscous incompressible and compressible flows in conditions of complex geometry with moving elements, preference is often given to meshless numerical algorithms based on the Smoothed Particle Hydrodynamics (SPH). We have developed our own parallel SPH algorithm that uses graphic processors to solve various problems with very narrow slits, rotating and contacting disks, free surfaces, etc., which are difficult to attack by conventional mesh-based (e. g., finite volume (FV)) methods. To check the algorithm, we solved the problems: (i) on the steady-state temperature distribution inside the cylinder head of a piston engine; (ii) on the torque of a gear box with rotating gearwheels partially immersed in engine oil; and (iii) on the steady-state gas velocity field during purging of the piston engine cylinder with air.

Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2858 ◽  
Author(s):  
Abdelkader Krimi ◽  
Luis Ramírez ◽  
Sofiane Khelladi ◽  
Fermín Navarrina ◽  
Michael Deligant ◽  
...  

In this work we present a δ-Smoothed Particle Hydrodynamics (SPH) scheme for weakly compressible flows with automatic adaptive numerical dissipation. The resulting scheme is a meshless self-adaptive method, in which the introduced artificial dissipation is designed to increase the dissipation in zones where the flow is under-resolved by the numerical scheme, and to decrease it where dissipation is not required. The accuracy and robustness of the proposed methodology is tested by solving several numerical examples. Using the proposed scheme, we are able to recover the theoretical decay of kinetic energy, even where the flow is under-resolved in very coarse particle discretizations. Moreover, compared with the original δ-SPH scheme, the proposed method reduces the number of problem-dependent parameters.


2019 ◽  
Vol 185 ◽  
pp. 22-33 ◽  
Author(s):  
R. Fatehi ◽  
A. Rahmat ◽  
N. Tofighi ◽  
M. Yildiz ◽  
M.S. Shadloo

2013 ◽  
Vol 444-445 ◽  
pp. 380-384 ◽  
Author(s):  
Liu Chao Qiu

Thanks to the recent development of tools such as CUDA and OpenCL it has become possible to fully utilize Graphical Processing Units (GPUs) for scientific computing. OpenCL promises huge savings in parallel code development and optimization efforts due to it is not restricted to a specific architecture. We have developed an OpenCL-based acceleration framework on GPU for numerical simulations of incompressible flows using incompressible Smoothed Particle Hydrodynamics (ISPH). In order to assess the performance of the GPU implementation presented in the present work, a comparison was made against the implementation of the same ISPH in CPU using OpenCL.


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