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Title:

Machine-learning-augmented domain decomposition method for near-wall turbulence modeling

Document type:
Zeitschriftenaufsatz
Author(s):
Lyu, Shiyu; Kou, Jiaqing; Adams, Nikolaus A.
Abstract:
To tackle the challenging near-wall turbulence modeling while preserving low computational cost, the near-wall nonoverlapping domain decomposition (NDD) method is proposed, incorporating the machine-learning technique. Using recently proposed implicit NDD (INDD), the solution can be calculated with a Robin-type (slip) wall boundary condition on a relatively coarse mesh and then corrected in the near-wall region at every iteration through an estimated turbulent viscosity profile obtained from a n...     »
Dewey Decimal Classification:
620 Ingenieurwissenschaften
Journal title:
Physical Review Fluids
Year:
2024
Journal volume:
9
Journal issue:
4
Covered by:
Scopus
Language:
en
Fulltext / DOI:
doi:10.1103/physrevfluids.9.044603
Publisher:
American Physical Society (APS)
E-ISSN:
2469-990X
Date of publication:
05.04.2024
TUM Institution:
Lehrstuhl für Aerodynamik und Strömungsmechanik
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