2011
DOI: 10.1016/j.jcp.2011.04.024
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Feature-driven Cartesian adaptive mesh refinement for vortex-dominated flows

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Cited by 70 publications
(34 citation statements)
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“…In additions, adaptive framework have been introduced (see e.g. [138,15,3,14,143,76,51,19,137,10,92,4,111,41,25,58,128,66] and the references therein).…”
Section: Improvement On Mass Conservationmentioning
confidence: 99%
“…In additions, adaptive framework have been introduced (see e.g. [138,15,3,14,143,76,51,19,137,10,92,4,111,41,25,58,128,66] and the references therein).…”
Section: Improvement On Mass Conservationmentioning
confidence: 99%
“…The parallel processing of our hybrid model is also realized on modern GPU for efficient simulations. In the future work, we will investigate adaptive mesh refinement [Kamkar et al 2011] in hybrid vertex model to improve the discretization of vorticity especially when the vorticity is intense. (a) (b) (c) (d) Figure 9: Comparison with hairpin removal and reconnection [Chorin 1993].…”
Section: Discussionmentioning
confidence: 99%
“…But it leads to too large number of triangles which slows down the simulation. Rather than using smaller, high-resolution mesh for bringing back the details, Kamkar [Kamkar et al 2011] exploited the feature information extracted from the gradient of velocity to adaptively refine the grid. However, constantly computing the eigenvalue, eigenvector to identify the appearance of vortex is time-consuming.…”
Section: Related Workmentioning
confidence: 99%
“…Moreover, the use of this field requires continual tuning depending on the flow problem, as studied by S.J. Kamkar [11] The residual velocity criteria presents a better behavior and the thresh- …”
Section: Refinement Criteriamentioning
confidence: 99%
“…Although the large number of numerical studies available, most of them are based on error control technique, applied on a finite element framework. Only few studies have been performed using solution-directed mesh-refinement methods or applied to finite volume framework for different applications [8,9,10,11].…”
Section: Introductionmentioning
confidence: 99%