2016
DOI: 10.1177/0954410016660872
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Development of a boundary layer parameters identification method for transition prediction with complex grids

Abstract: Predicting boundary layer transition accurately is important to thermal protection and drag reduction of flight vehicles. Up to now, there has been many transition prediction methods. However, most of those methods need boundary layer parameters, which are difficult to obtain in massively parallel execution since some parameters are nonlocal variables, thus greatly limiting the application of those methods. A grid-reorder method is developed to obtain the boundary layer parameters, which is suitable for parall… Show more

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Cited by 9 publications
(1 citation statement)
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“…The u-velocity and temperature profiles obtained from the DNS are plotted at the end of the computational domain in Figure 4. The normalized wall-normal coordinate is determined using the local boundary-layer thickness, which is based on the total enthalpy criterion h 0 (δ h0 ) = C h h ∞ [42], with C h = 1.008. Over the insulated wall, the developed boundary layer is thicker, approximately δ h0 ≃ 14 mm, in contrast to δ h0 ≃ 8 mm over the cold wall.…”
Section: Steady Statementioning
confidence: 99%
“…The u-velocity and temperature profiles obtained from the DNS are plotted at the end of the computational domain in Figure 4. The normalized wall-normal coordinate is determined using the local boundary-layer thickness, which is based on the total enthalpy criterion h 0 (δ h0 ) = C h h ∞ [42], with C h = 1.008. Over the insulated wall, the developed boundary layer is thicker, approximately δ h0 ≃ 14 mm, in contrast to δ h0 ≃ 8 mm over the cold wall.…”
Section: Steady Statementioning
confidence: 99%