The DOI matches its Crossref record.
The spatial structure and statistical properties of homogeneous turbulence
Abstract
A direct numerical simulation at resolution 240 3 is used to obtain a statistically stationary three-dimensional homogeneous and isotropic turbulent field at a Reynolds number around 1000 (Rλ≈ 150). The energy spectrum displays an inertial subrange. The velocity derivative distribution, known to be strongly non-Gaussian, is found to be close to, but not, exponential. The n th-order moments of this distribution, as well as the velocity structure functions, do not scale with n as predicted by intermittency models. Visualization of the flow confirms the previous finding that the strongest vorticity is organized in very elongated thin tubes. The width of these tubes is of the order of a few dissipation scales, while their length can reach the integral scale of the flow.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Scale-Invariance and Turbulence Models for Large-Eddy Simulation
Meneveau, C., & Katz, J. (2000) · Annual Review of Fluid Mechanics · doi:10.1146/annurev.fluid.32.1.1 · Cited by 1,374
A new dynamic one-equation subgrid-scale model for large eddy simulations
Kim, W.-W., & Menon, S. (1995) · 33rd Aerospace Sciences Meeting and Exhibit · doi:10.2514/6.1995-356 · Cited by 335
Topology of fine-scale motions in turbulent channel flow
Blackburn, H. M., Mansour, N. N., & Cantwell, B. J. (1996) · Journal of Fluid Mechanics · doi:10.1017/s0022112096001802 · Cited by 273
Rayleigh number scaling in numerical convection
Kerr, R. M. (1996) · Journal of Fluid Mechanics · doi:10.1017/s0022112096001760 · Cited by 260
Metadata
- Authors
- Vincent, A., & Meneguzzi, M.
- Venue
- Journal of Fluid Mechanics
- Publisher
- Cambridge University Press (CUP)
- Published
- 1991-04
- Volume
- 225
- Pages
- 1-20
- ISSN
- 0022-1120 (ISSN-L)
- 1469-7645
- OpenAlex
- W2129956165
- Cited by
- 976
- References
- 0
- FWCI
- 68.37
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The spatial structure and statistical properties of homogeneous turbulence. https://app.cochat.ai/papers/10.1017/s0022112091001957
- The paper
- Vincent, A., & Meneguzzi, M. (1991). The spatial structure and statistical properties of homogeneous turbulence. Journal of Fluid Mechanics. https://doi.org/10.1017/s0022112091001957
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
