The DOI matches its Crossref record.
Turbulent Flows
Abstract
This is a graduate text on turbulent flows, an important topic in fluid dynamics. It is up-to-date, comprehensive, designed for teaching, and is based on a course taught by the author at Cornell University for a number of years. The book consists of two parts followed by a number of appendices. Part I provides a general introduction to turbulent flows, how they behave, how they can be described quantitatively, and the fundamental physical processes involved. Part II is concerned with different approaches for modelling or simulating turbulent flows. The necessary mathematical techniques are presented in the appendices. This book is primarily intended as a graduate level text in turbulent flows for engineering students, but it may also be valuable to students in applied mathematics, physics, oceanography and atmospheric sciences, as well as researchers and practising engineers.
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
Convective Transport in Nanofluids
Buongiorno, J. (2006) · Journal of Heat Transfer · doi:10.1115/1.2150834 · Cited by 7,013
Wang, J.-X., Wu, J.-L., & Xiao, H. (2017) · Physical Review Fluids · doi:10.1103/physrevfluids.2.034603 · Cited by 737
Numerical simulation and experiments of burning douglas fir trees
Mell, W., Maranghides, A., McDermott, R., & Manzello, S. L. (2009) · Combustion and Flame · doi:10.1016/j.combustflame.2009.06.015 · Cited by 317
Turbulent flame–wall interaction: a direct numerical simulation study
GRUBER, A., SANKARAN, R., HAWKES, E. R., & CHEN, J. H. (2010) · Journal of Fluid Mechanics · doi:10.1017/s0022112010001278 · Cited by 264
CFD simulation of stirred tanks: Comparison of turbulence models. Part I: Radial flow impellers
Joshi, J. B., Nere, N. K., Rane, C. V., Murthy, B. N., Mathpati, C. S., Patwardhan, A. W., & Ranade, V. V. (2011) · The Canadian Journal of Chemical Engineering · doi:10.1002/cjce.20446 · Cited by 228
Metadata
- Authors
- Pope, S. B.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2000-08-10
- OpenAlex
- W323536346
- Cited by
- 8,477
- References
- 0
- FWCI
- 6.65
- Type
- book
- 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: Turbulent Flows. https://app.cochat.ai/papers/10.1017/cbo9780511840531
- The paper
- Pope, S. B. (2000). Turbulent Flows. Cambridge University Press eBooks. https://doi.org/10.1017/cbo9780511840531
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.
