Neural network models for the anisotropic Reynolds stress tensor in turbulent channel flow
نویسندگان
چکیده
منابع مشابه
A Review of Reynolds Stress Models for Turbulent Shear Flows
A detailed review of recent developments in Reynolds stress modeling for incompressible turbulent shear ows is provided. The mathematical foundations of both two-equation models and full second-order closures are explored in depth. It is shown how these models can be systematically derived for two-dimensional mean turbulent ows that are close to equilibrium. A variety of examples are provided t...
متن کاملAsymptotic behaviour of commutation errors and the divergence of the Reynolds stress tensor near the wall in the turbulent channel flow
The derivation of the space averaged Navier–Stokes equations for the large eddy simulation (LES) of turbulent incompressible ows introduces two groups of terms which do not depend only on the space averaged ow eld variables: the divergence of the Reynolds stress tensor and commutation errors. Whereas the former is studied intensively in the literature, the latter terms are usually neglected. Th...
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متن کاملDirect solution for the anisotropy tensor in explicit algebraic Reynolds stress models
(cnL + cn−1L + · · ·+ c0I)(x) = 0, for all x ∈ V , cn = 1, cn−1 = −tr (L), · · · c0 = (−1) det(L), c−1 = 0, where I is the identity operator and all ck depend only on L. However, a special form of φ may imply that x also has a specific structure and on this contracted set an m power of L(x) can be expressed through a sum of lower powers with m < n. Consequently, computing the powers of the firs...
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ژورنال
عنوان ژورنال: Journal of Turbulence
سال: 2019
ISSN: 1468-5248
DOI: 10.1080/14685248.2019.1706742