Criteria for assessing experiments in zero pressure gradient boundary layers
By K. Chauhan, P. Monkewitz, H. Nagib. 2009
348 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computational Mechanics, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/b72410e98a5a57fcc6820c5af895440545b204ce
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
In Computational Mechanics
- Philipp Schlatter
- Ramis Örlü
- Ivan Marusic
- Nicholas Hutchins
- B. McKeon
- Dan S. Henningson
- K. Chauhan
- V. Kulandaivelu
In Global and Planetary Change
- Philipp Schlatter
- Ramis Örlü
- Ivan Marusic
- Nicholas Hutchins
- B. McKeon
- K. Chauhan
- C. D. de Silva
- Qiang Li
Citations in the corpus
- Evolution of zero-pressure-gradient boundary layers from different tripping conditions (2015, methodology): “The data points for Erm (1988) at low Reynolds number deviate from the dashed-curve of Chauhan et al. (2009) for canonical behaviour of H and likewise the non-canonical cases of TR06 and TR10 deviate considerably from the curve at high Reynolds numbers.”
- The turbulent/non-turbulent interface and entrainment in a boundary layer (2012, background): “The boundary layer thickness ( δ ) and the friction velocity ( u τ ) are determined from Marusic & Kunkel (2003). the composite velocity fit of Chauhan et al. (2009).”
- Assessment of direct numerical simulation data of turbulent boundary layers (2010, methodology): “The solid and dashed lines depict the integration of the composite profile by Chauhan et al. (2009) and its 1 % tolerance limits.”
- Turbulent boundary layers at moderate Reynolds numbers: inflow length and tripping effects (2012, methodology): “…might explain differences between various (experimental) data sets, while a more recent re-assessment of experimental data from ZPG TBL flows by Chauhan et al. (2009) lists ‘three major local experimental conditions existing in the tunnel for various data sets, i.e. an insufficient or…”
- Simulations of Spatially Evolving Turbulent Boundary Layers up to Reθ = 4300 (2010, background): “Moreover, it has been shown that H12 is a sensitive indicator of the quality of the boundarylayer data (Chauhan et al., 2008).”