2020
DOI: 10.1007/s42241-020-0039-8
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CFD simulations of three-dimensional violent sloshing flows in tanks based on MPS and GPU

Abstract: For violent sloshing, the flow field becomes complicated and 3-D effect is non-negligible. In addition to the excitation direction, the wave can also propagate perpendicular to the excitation direction. Due to the superposition of waves from different directions, the impact pressure imposed on the wall of the tank may increase. In this paper, our in-house solver MPSGPU-SJTU based on moving particle semi-implicit (MPS) method coupled with GPU techniques is employed for the liquid sloshing simulation, to study t… Show more

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Cited by 33 publications
(4 citation statements)
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“…In order to match the model of the real pump, the MPS particle resolution in the whole computational domain will be very high, which increases the computational cost sharply. In the future, the acceleration techniques, including the GPU parallel technique (Xie et al, 2020) and the adaptive multi-resolution technique (Sun et al, 2017), will be introduced to the MPS−DEM solver and more realistic simulations of the hydraulic conveying process will be conducted.…”
Section: Discussionmentioning
confidence: 99%
“…In order to match the model of the real pump, the MPS particle resolution in the whole computational domain will be very high, which increases the computational cost sharply. In the future, the acceleration techniques, including the GPU parallel technique (Xie et al, 2020) and the adaptive multi-resolution technique (Sun et al, 2017), will be introduced to the MPS−DEM solver and more realistic simulations of the hydraulic conveying process will be conducted.…”
Section: Discussionmentioning
confidence: 99%
“…As for a 3D nonlinear free surface problem, Pethiyagoda [15] combined the GPU acceleration technique with the boundary integral method, and LU [16] developed a GPU-accelerated high-order spectral solver. Xie [17] developed the MPSGPU-SJTU solver with a GPU acceleration technique for the liquid sloshing simulation.…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, such advanced schemes are usually computationally expensive and difficult to implement due to its high complexity in algorithm. It is also unfavorable for parallelized computing using modern graphical units (GPUs), which is more suitable for handling massive data rather than complex algorithms 26 , 27 .…”
Section: Introductionmentioning
confidence: 99%