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Resúmenes de Mecánica Computacional
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Struggling with the Modeling of Boundary Layers in Coarse Grids with the Pseudo-Direct Numerical Simulation Method (P-DNS)

Authors: Axel E. Larreteguy; Francisco M. Sívori; Juan M. Gimenez; Norberto M. Nigro; Sergio R. Idelsohn;

Struggling with the Modeling of Boundary Layers in Coarse Grids with the Pseudo-Direct Numerical Simulation Method (P-DNS)

Abstract

Flow regions near solid surfaces are strongly dominated by viscosity effects and greatly affected by the near-wall pressure field. The velocity profiles are far from linear and the associated furbulence level and characteristics vary very rapidly in directions normal to the solid boundaries. The novel methodology called Pseudo-Direct Numerical Simulation (P-DNS) is intended to simulate laminar and turbulent flows using meshes too coarse to be deemed adequate for other, more traditional, methodologies (e.g. those of the RANS and LES families). P-DNS is a novel multiscale methodology which separates the fields to be resolved into two space-time scales called coarse and fine, being the limit between scales in principle arbitrary. The freedom in selecting this limit allows for P-DNS to be used both in applications which require less detailed but faster answers and also in those requiring greater accuracy. P-DNS has been so far successfully used mainly in problems where the effects of solid walls were not significant and, in some cases, in fully developed pipe flows. Applying the methodology to problems with more complex (i.e. curved) solid boundaries with meshes so coarse that they are barely able to even describe its geometry, has proven to be a challenging task. This work briefly describes the main characteristics of the turbulent boundary, including the effect of the local pressure gradient, and covers some of the solutions explored to simulate these layers in the P-DNS framework.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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