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Fluid Mechanics in the Driven Cavity
Abstract
▪ Abstract This review pertains to the body of work dealing with internal recirculating flows generated by the motion of one or more of the containing walls. These flows are not only technologically important, they are of great scientific interest because they display almost all fluid mechanical phenomena in the simplest of geometrical settings. Thus corner eddies, longitudinal vortices, nonuniqueness, transition, and turbulence all occur naturally and can be studied in the same closed geometry. This facilitates the comparison of results from experiment, analysis, and computation over the whole range of Reynolds numbers. Considerable progress has been made in recent years in the understanding of three-dimensional flows and in the study of turbulence. The use of direct numerical simulation appears very promising.
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Citations
Cited by
Theofilis, V. (2011) · Annual Review of Fluid Mechanics · doi:10.1146/annurev-fluid-122109-160705 · Cited by 732
Warren, C. J., Beaumont, C., & Jamieson, R. A. (2008) · Earth and Planetary Science Letters · doi:10.1016/j.epsl.2007.11.025 · Cited by 277
Wang, J., Wang, Y., & Ye, X. (2009) · SIAM Journal on Scientific Computing · doi:10.1137/080730044 · Cited by 57
Metadata
- Authors
- Shankar, P. N., & Deshpande, M. D.
- Venue
- Annual Review of Fluid Mechanics
- Publisher
- Annual Reviews
- Published
- 2000-01
- Volume
- 32
- Issue
- 1
- Pages
- 93-136
- ISSN
- 0066-4189 (ISSN-L)
- 1545-4479
- OpenAlex
- W2095626383
- Cited by
- 859
- References
- 0
- FWCI
- 1.06
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Fluid Mechanics in the Driven Cavity. https://app.cochat.ai/papers/10.1146/annurev.fluid.32.1.93
- The paper
- Shankar, P. N., & Deshpande, M. D. (2000). Fluid Mechanics in the Driven Cavity. Annual Review of Fluid Mechanics. https://doi.org/10.1146/annurev.fluid.32.1.93
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.
