Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 307

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

On the structure of pressure fluctuations in simulated turbulent channel flow

Kim, John·1989·Journal of Fluid Mechanics

Abstract

Pressure fluctuations in a turbulent channel flow are investigated by analysing a database obtained from a direct numerical simulation. Detailed statistics associated with the pressure fluctuations are presented. Characteristics associated with the rapid (linear) and slow (nonlinear) pressure are discussed. It is found that the slow pressure fluctuations are larger than the rapid pressure fluctuations throughout the channel except very near the wall, where they are about the same magnitude. This is contrary to the common belief that the nonlinear source terms are negligible compared with the linear source terms. Probability density distributions, power spectra, and two-point correlations are examined to reveal the characteristics of the pressure fluctuations. The global dependence of the pressure fluctuations and pressure–strain correlations are also examined by evaluating the integral associated with Green-function representations of them. In the wall region where the pressure–strain terms are large, most contributions to the pressure–strain terms are from the wall region (i.e. local), whereas away from the wall where the pressure–strain terms are small, contributions are global. Structures of instantaneous pressure and pressure gradients at the wall and the corresponding vorticity field are examined.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1017/s0022112089002090

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cites

Show all 1 references

Cited by

See all 307

Metadata

Authors
Kim, J.
Venue
Journal of Fluid Mechanics
Published
1989-08
Volume
205
Pages
421-451
ISSN
  • 0022-1120 (ISSN-L)
  • 1469-7645
OpenAlex
W2168106086
Cited by
307
References
1
FWCI
4.95
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: On the structure of pressure fluctuations in simulated turbulent channel flow. https://app.cochat.ai/papers/10.1017/s0022112089002090
The paper
Kim, J. (1989). On the structure of pressure fluctuations in simulated turbulent channel flow. Journal of Fluid Mechanics. https://doi.org/10.1017/s0022112089002090

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.