FlowVision Scalability on Supercomputers with Angara Interconnect

Akimov, V. S.; Silaev, D. P.; Aksenov, Andrey A.; Zhluktov, Sergey V.; Savitskiy, D. V.; Simonov, Alexey

doi:10.1134/s1995080218090081

Cited by 5 publications

(2 citation statements)

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“…Therefore, an efficient solver for large sparse linear systems of equations, namely AMGCL, 54 is used to reduce the computational intensity based on the algebraic multigrid method. 55,56 Additionally, the evaluation accuracy of the fluid volume fraction will have an obvious impact on the calculation of the equation coefficients and thus the precision of the convergent solutions. Therefore, an effective algorithm named "overlap 57 " with the ability to accurately solve the intersect volume between spherical particles and tetrahedral meshes is employed here and the corresponding fluid volume fraction of each fluid mesh can be calculated as follows:…”

Section: Establishment and Solution Principle Of The Fluid Modulementioning

confidence: 99%

“…The solving process for the linear equation system will be time‐consuming with a large number of unknown variables to be solved. Therefore, an efficient solver for large sparse linear systems of equations, namely AMGCL, 54 is used to reduce the computational intensity based on the algebraic multigrid method 55,56 . Additionally, the evaluation accuracy of the fluid volume fraction will have an obvious impact on the calculation of the equation coefficients and thus the precision of the convergent solutions.…”

Section: Principles and Formulationsmentioning

confidence: 99%

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A novel unresolved/semi‐resolved CFD‐DEM coupling method with dynamic unstructured mesh

He,

Li,

Chen

2024

Num Anal Meth Geomechanics

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The greatest challenge when performing large deformation simulations using the CFD‐DEM coupling method lies in the dynamical update of the fluid meshes. To address this problem, a novel CFD‐DEM coupling method integrated with the dynamic unstructured grid is proposed in this work. The mesh initialization and reconstruction are performed by the Constrained Delaunay triangulation (CDT) implemented by the tetgen algorithm. Moreover, the equation of state (EOS) is introduced to consider the impact of fluid compressibility. The reliability of this coupling method is preliminarily verified by the particle sedimentation test. Additionally, undrained triaxial shear and one‐dimensional consolidation tests are conducted to examine the applicability of the proposed method in simulating geotechnical cases. From our analysis, it is found that the shear responses in the undrained triaxial shear test obtained from the proposed method with dynamic mesh are in direct accordance with those led by the constant volume (CV) method. However, difficulties arise in accurately describing the moving boundary by the fixed mesh, leading to unreliable results. Moreover, in the one‐dimensional consolidation test, both the dynamic and fixed grids can capture the Mandel—Cryer effect, which is more pronounced under the dynamic grid, mainly due to the dual impact of the loading device and particle skeleton on the fluid. A greater compressibility specified under the dynamic grid led to a weakening of this effect, whereas its duration is increased. Our work provides valuable insights for effectively dealing with dynamic fluid boundaries.

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