Streamwise turbulence intensity formulation for flat-plate boundary layers
By Ivan Marusic, G. J. Kunkel. 2003
257 citations recorded by the source corpus.
Subfields: Computational Mechanics, Environmental Engineering, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/5aaca3cee9243a12a6f86368949d3428010dff66
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- B. McKeon
- Ivan Marusic
- Nicholas Hutchins
- Alexander J Smits
- Javier Jiménez
- Sergio Pirozzoli
- R. Mathis
- Matteo Bernardini
In Environmental Engineering
- B. McKeon
- Ivan Marusic
- Nicholas Hutchins
- Alexander J Smits
- R. Mathis
- Jason Monty
- Javier Jiménez
- Philipp Schlatter
In Global and Planetary Change
- B. McKeon
- Ivan Marusic
- Nicholas Hutchins
- R. Mathis
- Alexander J Smits
- Jason Monty
- Philipp Schlatter
- J. Lee
Citations in the corpus
- Large-scale influences in near-wall turbulence (2007, unknown): “2001; Marusic & Kunkel 2003).”
- Scaling of the streamwise velocity component in turbulent pipe flow (2004, background): “Marusic & Kunkel (2003) have recently extended these ideas.”
- A predictive inner–outer model for streamwise turbulence statistics in wall-bounded flows (2011, background): “…the correct form of the scaling in the near-wall region, either based on inner variable scaling (Mochizuki & Nieuwstadt 1999; Sreenivasan 1989), mixed scaling (DeGraaff & Eaton 2000), or formulations involving both inner- and outer-scaling (Marusic, Uddin & Perry 1997; Marusic & Kunkel 2003).”
- Direct numerical simulation of the turbulent boundary layer over a cube-roughened wall (2010, background): “For the TBL over a smooth wall, it is known that the peak values and locations of Reynolds stresses are Reynolds-number-dependent and that they increase with increases in the Reynolds number (Degraaff & Eaton 2000; Marusic & Kunkel 2003).”
- High–Reynolds Number Wall Turbulence (2011, methodology): “The model proposed by Marusic & Kunkel (2003) builds on the attached-eddy model originally proposed for the logarithmic region of wall-bounded flows by Perry et al. (1986).”
- Velocity statistics in turbulent channel flow up to $Re_{\tau }=4000$ (2014, background): “…violations of the universal structure, the most evident being perhaps the variation of the near-wall peak of the streamwise turbulence intensity, whose amplitude is found to grow logarithmically with the friction Reynolds number (Klewicki & Falco 1990; DeGraaff & Eaton 2000; Marusic & Kunkel 2010).”
- Large-scale amplitude modulation of the small-scale structures in turbulent boundary layers (2009, background): “The viscous-scaled near-wall peak in the streamwise broadband intensity clearly grows in magnitude with increasing Reynolds number (Klewicki & Falco 1990; DeGraaff & Eaton 2000; Metzger et al. 2001; Metzger & Klewicki 2001; Marusic & Kunkel 2003; Hoyas & Jim´enez 2006; Hutchins et al. 2009).”
- Generalized logarithmic law for high-order moments in turbulent boundary layers (2013, background): “Specifically, there has been growing evidence in recent years (Marusic & Kunkel 2003; Hultmark et al. 2012; Marusic et al. 2013) for a universal law of the form 〈(u′+)2〉 = B1 − A1 ln(z/δ), (1.2) where u′+ = (u − 〈u〉)/uτ is the normalized streamwise velocity fluctuation and δ is an outer length…”
- On the logarithmic region in wall turbulence (2013, background): “However, as seen in figure 1, the turbulence intensity 716 R3-4 profiles tend to depart from the logarithmic profile more abruptly than for the mean flow (Marusic & Kunkel 2003; Smits et al. 2011).”
- Evidence of very long meandering features in the logarithmic region of turbulent boundary layers (2007, methodology): “MK2003 refers to Marusic & Kunkel (2003) .”
- Hot-wire spatial resolution issues in wall-bounded turbulence (2009, methodology): “More recently there has been a growing acceptance that the near-wall peak does not scale exclusively with Uτ and instead exhibits a weak Re dependence (Klewicki & Falco 1990; DeGraaff & Eaton 2000; Metzger & Klewicki 2001; Metzger et al. 2001; Marusic & Kunkel 2003).”