2014
DOI: 10.1016/j.compfluid.2013.12.019
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Combined refinement criteria for anisotropic grid refinement in free-surface flow simulation

Abstract: International audienc

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Cited by 41 publications
(44 citation statements)
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“…Examples of feature-based refinement indicators include measures of vorticity or vortex detection methods, 15 boundary layer detection, or those based on gradients of the mass fraction for two-phase flows. 16 These methods are often inefficient and they might lack of robustness, as they do not take into account error propagation and the refinement of certain features might not be relevant for the computation of target quantities. However, their implementation is often simple and inexpensive and can provide reasonable results when employed by expert users.…”
Section: Introductionmentioning
confidence: 99%
“…Examples of feature-based refinement indicators include measures of vorticity or vortex detection methods, 15 boundary layer detection, or those based on gradients of the mass fraction for two-phase flows. 16 These methods are often inefficient and they might lack of robustness, as they do not take into account error propagation and the refinement of certain features might not be relevant for the computation of target quantities. However, their implementation is often simple and inexpensive and can provide reasonable results when employed by expert users.…”
Section: Introductionmentioning
confidence: 99%
“…These problems are classified into three categories. The first one includes interfacial problems such as shockwave propagation (Brown et al 2015), flame-vortex interaction (Hartmann et al 2011), combustion process (Tonini et al 2008), liquid solidification process (Lan et al 2002), bubble evolution (Ryskin & Leal 1984), and free-surface motion (Wackers et al 2014). The second category includes boundary-layer or vortex-flow problems, such as driven-cavity flow (Peng et al 2010), wake flow (Kamkar et al 2011), and the vortex-shedding phenomenon (de Tullio et al 2007).…”
Section: Introductionmentioning
confidence: 99%
“…It is quite useful in solving water wave modelling problems, especially in regions close to the free surface and structural boundaries (e.g. Hay et al 2006;Wackers et al 2014). In an early study, one of our related previous research output (Tang & Chang 1997) was developed for a two-dimensional unsteady stream function based on the wave model with locally refined grids near the free surface.…”
Section: Introductionmentioning
confidence: 99%
“…The AGR algorithm [5] begins with the computational domain covered with a coarse grid. As the calculation progresses, the mesh is regularly adapted based on the refinement criterion: a tensor field computed from the second derivatives of the solution, whose values determine which parts of the mesh should be refined or derefined.…”
Section: Adaptive Grid Refinement With Averaged Quantitiesmentioning
confidence: 99%