2004
DOI: 10.1016/j.jcp.2003.10.016
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Spectral distributed Lagrange multiplier method: algorithm and benchmark tests

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Cited by 33 publications
(29 citation statements)
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“…The FCM can handle spherical or ellipsoidal particles (complex shapes are not possible) moving in a Stokes or finite Reynolds flow including simply the effect of non-hydrodynamic forces together with a good accuracy of multi-body hydrodynamic interactions. This method has been compared to other existing methods for particulate flows (see [40]. The conclusion is that with 6-8 grid cells within a particle diameter, FCM is very efficient.…”
Section: Numerical Modeling Of Flow Particle Interactionsmentioning
confidence: 99%
“…The FCM can handle spherical or ellipsoidal particles (complex shapes are not possible) moving in a Stokes or finite Reynolds flow including simply the effect of non-hydrodynamic forces together with a good accuracy of multi-body hydrodynamic interactions. This method has been compared to other existing methods for particulate flows (see [40]. The conclusion is that with 6-8 grid cells within a particle diameter, FCM is very efficient.…”
Section: Numerical Modeling Of Flow Particle Interactionsmentioning
confidence: 99%
“…A number of approaches have been proposed, such as distributed Lagrange multipliers (Dong et al, 2004), which enforce the boundary between the solid and the fluid exactly. However, for more complicated geometries (see section 3.2) this would require identification of the solid regions, which essentially amounts to segmentation of the geometry; hence, this could be simulated using a boundary fitted approach.…”
Section: Fictitious Solid Obstaclesmentioning
confidence: 99%
“…This model avoids the demand to completely resolve the thin boundary layer around the complex-shaped particles and avoids the requirement of tiny elements and large numbers of nodes near the surface curvature. Therefore, this model significantly reduces the computational intensity by one to two orders of magnitude as indicated in this paper and [14,34]. Due to the balance between computational accuracy and economical consideration in formulation, simulation results indicate that VIP is promising for investigating flows with complex-shaped particles, especially for the case with abundant complex particles.…”
Section: Resultsmentioning
confidence: 77%