2000
DOI: 10.1016/s0045-7825(99)00230-3
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A distributed Lagrange multiplier/fictitious domain method for the simulation of flow around moving rigid bodies: application to particulate flow

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Cited by 81 publications
(43 citation statements)
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“…The numerical simulation of such systems is similarly plagued. If the solid particles are represented by a Lagrangian mesh it is necessary to interpolate their image into the Eulerian mesh, and this is expensive and degrades accuracy [12,26]. Moreover, the absence of a satisfactory theory for the underlying equations undermines the analysis of these algorithms.…”
mentioning
confidence: 99%
“…The numerical simulation of such systems is similarly plagued. If the solid particles are represented by a Lagrangian mesh it is necessary to interpolate their image into the Eulerian mesh, and this is expensive and degrades accuracy [12,26]. Moreover, the absence of a satisfactory theory for the underlying equations undermines the analysis of these algorithms.…”
mentioning
confidence: 99%
“…As far as the numerical solution of such fluid-solid interaction problems is concerned, several different approaches have been introduced in the literature, based on ALE formulations [7,17,23,24], fictitious domain technique [13], penalty method [20] or Lagrange-Galerkin method [29], but only a few actually received a rigorous analysis of their properties. On this very topic, let us mention the paper of Grandmont et al [15] for proofs of convergence of time decoupling algorithms used to solve an ALE formulation of a one-dimensional fluid-structure interaction problem.…”
Section: S(ζ(t)θ(t))mentioning
confidence: 99%
“…One can easily check (see [13,17,23]) that the strong solution of (1.1)-(1.8) satisfies the following mixed variational formulation: Find (u, ζ, θ, p) verifying (1.7), (1.8), (2.3), and, for almost every t in (0, T ),…”
Section: Weak Formulation Of the Problemmentioning
confidence: 99%
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“…In particular, it was used for modeling unsteady incompressible viscous flow with fixed or moving boundaries [25,21,22,23] and in several applications of wave propagation, such as acoustic scattering problems [15,10,12], electromagnetic scattering problems [17], and musical acoustics [33,29,4]. For both stationary and time-dependent problems the fictitious domain improves the performance of the nu-…”
mentioning
confidence: 99%