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Cited by 1,231

The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.

THE PHENOMENOLOGY OF SMALL-SCALE TURBULENCE

Sreenivasan, K. R., Antonia, R. A.·1997·Annual Review of Fluid Mechanics

Abstract

I have sometimes thought that what makes a man's work classic is often just this multiplicity [of interpretations], which invites and at the same time resists our craving for a clear understanding. Wright (1982, p. 34) , on Wittgenstein's philosophy ▪ Abstract Small-scale turbulence has been an area of especially active research in the recent past, and several useful research directions have been pursued. Here, we selectively review this work. The emphasis is on scaling phenomenology and kinematics of small-scale structure. After providing a brief introduction to the classical notions of universality due to Kolmogorov and others, we survey the existing work on intermittency, refined similarity hypotheses, anomalous scaling exponents, derivative statistics, intermittency models, and the structure and kinematics of small-scale structure—the latter aspect coming largely from the direct numerical simulation of homogeneous turbulence in a periodic box.

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Metadata

Authors
Sreenivasan, K. R., & Antonia, R. A.
Venue
Annual Review of Fluid Mechanics
Published
1997-01
Volume
29
Issue
1
Pages
435-472
ISSN
  • 0066-4189 (ISSN-L)
  • 1545-4479
OpenAlex
W2104055838
Cited by
1,231
References
47
FWCI
4.42
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: THE PHENOMENOLOGY OF SMALL-SCALE TURBULENCE. https://app.cochat.ai/papers/10.1146/annurev.fluid.29.1.435
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Sreenivasan, K. R., & Antonia, R. A. (1997). THE PHENOMENOLOGY OF SMALL-SCALE TURBULENCE. Annual Review of Fluid Mechanics. https://doi.org/10.1146/annurev.fluid.29.1.435

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.