2017
DOI: 10.1016/j.jcp.2017.02.044
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A versatile embedded boundary adaptive mesh method for compressible flow in complex geometry

Abstract: ObjectiveThe Objective is to develop an embedded boundary method under an adaptive mesh refinement framework to compute low and high Mach number compressible Navier Stokes equations in arbitrary complex time dependent geometries on two and three dimensional computational domains.

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Cited by 36 publications
(26 citation statements)
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References 77 publications
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“…The overall results at various forced oscillating frequencies are shown in Figure 9, including the root‐mean‐square (r.m.s) values of the lift and drag coefficients, and the average values of the drag coefficient in Figure 9A, and the phase differences of the transverse lift and displacement in Figure 9B, as well as their comparisons with some previous studies 4,65,66 using the IB methods. Most of our present results are in good agreements with the published works.…”
Section: Resultsmentioning
confidence: 90%
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“…The overall results at various forced oscillating frequencies are shown in Figure 9, including the root‐mean‐square (r.m.s) values of the lift and drag coefficients, and the average values of the drag coefficient in Figure 9A, and the phase differences of the transverse lift and displacement in Figure 9B, as well as their comparisons with some previous studies 4,65,66 using the IB methods. Most of our present results are in good agreements with the published works.…”
Section: Resultsmentioning
confidence: 90%
“…The key issue of the IB methods is how to model the wall boundary. The initial idea of Peskin 1 can be categorized as a continuous‐forcing, or diffused‐interface method 4 . The interaction of flow field and wall boundary can be treated as body forces in the governing equation, which are obtained through boundary conditions.…”
Section: Introductionmentioning
confidence: 99%
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“…In our results, for example, ∆x/L M ≈ 6.3%, suggesting that the reported value for R M is very sensitive to the method used to measure L M . [14] 0.03 Al-Marouf and Samtaney [39] 0.027…”
Section: Variablementioning
confidence: 99%