2014
DOI: 10.2478/meceng-2014-0014
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A High Performance Computing Approach to the Simulation of Fluid-Solid interaction Problems with Rigid and Flexible Components

Abstract: This work outlines a unified multi-threaded, multi-scale High Performance Computing (HPC) approach for the direct numerical simulation of Fluid-Solid Interaction (FSI) problems. The simulation algorithm relies on the extended Smoothed Particle Hydrodynamics (XSPH) method, which approaches the fluid flow in a Lagrangian framework consistent with the Lagrangian tracking of the solid phase. A general 3D rigid body dynamics and an Absolute Nodal Coordinate Formulation (ANCF) are implemented to model rigid and flex… Show more

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Cited by 18 publications
(12 citation statements)
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“…shows the transient velocity profiles obtained via the consistent SPH discretization of Eqs. (8)-(14). The proposed approach accurately predicted the velocity profiles for ratios of Υ LH =1, 2, and 4.…”
mentioning
confidence: 87%
See 1 more Smart Citation
“…shows the transient velocity profiles obtained via the consistent SPH discretization of Eqs. (8)-(14). The proposed approach accurately predicted the velocity profiles for ratios of Υ LH =1, 2, and 4.…”
mentioning
confidence: 87%
“…These particles move according to inter-particle interactions and external forces. Due to its Lagrangian nature, SPH enables efficient modeling of multiphase flows with moving interfaces [2,3,4], complex fluids [5,6,7,8], materials subject to large deformation [9,10,11], fluid-structure interactions (FSI) problems [12,13,14], and various transport phenomena [15,16,17,18].…”
Section: Introductionmentioning
confidence: 99%
“…In Ref. [79], a general rigid body dynamics and an absolute nodal coordinate formulation (ANCF) were implemented to model rigid and flexible objects interacting with a moving fluid. In 2012, Cherfils and co-workers released JOSEPHINE [80], a parallel weakly compressible SPH code written in Fortran 90, intended for free-surface flows.…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, parallel computing support can be found in the use of graphical processing units (GPU) to speed up the execution of single instruction multiple data (SIMD) operations. This is commonly used in the computational analysis of very large order systems, like DEM models or fluid/soil interaction using smoothed particle hydrodynamics [13].…”
Section: List Of Tablesmentioning
confidence: 99%
“…Similarly to the AVX methodology, the GPU architecture supports the execution of SIMDs to perform operations on the elements that comprise a large dimensional problem [13]. To The vertical tip node displacement for the static system was determined for increasingly fine element meshes and were compared to a reference solution obtained by ANSYS with a 100x100 brick element mesh (Solid185).…”
Section: High Performance Computingmentioning
confidence: 99%