2010
DOI: 10.1016/j.jcp.2010.03.028
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Parallel finite element simulations of incompressible viscous fluid flow by domain decomposition with Lagrange multipliers

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Cited by 13 publications
(7 citation statements)
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“…Typical examples are hierarchical interface decomposition (HID) [42] and heuristics for nodal or block multi-coloring [13][14][15]. These techniques and other related methods have been used in various application domains, such as CFD, computational electromagnetics, and structure analyses [16,17,[43][44][45].…”
Section: Performance Comparisonmentioning
confidence: 99%
“…Typical examples are hierarchical interface decomposition (HID) [42] and heuristics for nodal or block multi-coloring [13][14][15]. These techniques and other related methods have been used in various application domains, such as CFD, computational electromagnetics, and structure analyses [16,17,[43][44][45].…”
Section: Performance Comparisonmentioning
confidence: 99%
“…In solving the Navier-Stokes equations, ordering of the degrees of freedom is essential for the convergence [32]. For parallel computations at hand, the variables were reordered in blocks, depending on if the equations correspond to internal, interface, pressure or Lagrange multipliers as illustrated in the following equation:…”
Section: Parallel Implementationmentioning
confidence: 99%
“…The enriched tetrahedral nine‐node P 1 + − P 0 element (first introduced by Bertrand et al 20) solves velocity and pressure using a Lagrange multiplier that connects the continuity and momentum equations 17, 21, 22. This element is based on the classical linear tetrahedron P 1 + − P 0 , comprises 24 velocity degrees of freedom and 1 pressure degree of freedom at the element centroid and uses the Uzawa algorithm to approximate the velocity with a linear polynomial considering a constant pressure inside each element.…”
Section: Numerical Investigationmentioning
confidence: 99%
“…At this stage, let us mention that in the transition regime the advection term ( v ·grad v ) in the Navier–Stokes equations cannot be neglected and poses convergence issues. One way to cure the problem consists in introducing the well‐known SUPG technique to help stabilize the Newton–Raphson iterations procedure 22…”
Section: Numerical Investigationmentioning
confidence: 99%