Derivation of Pitot corrections for the Zagarola & Smits Superpipe data and their composite fit
Peter A. Monkewitz

TL;DR
This paper derives a simplified global Pitot correction model for high Reynolds number pipe flow data from the Princeton Superpipe, supporting a specific velocity profile model and clarifying the behavior of the overlap and wake regions.
Contribution
It introduces a new, simple Pitot correction formula based on the model by Monk, validating it with experimental data and analyzing the velocity profile structure at high Reynolds numbers.
Findings
The correction formula is proportional to (d+)^{0.9}(R+)^{-0.4}.
The overlap layer transition point y+_break is constant.
The outer wake profile is asymptotically linear.
Abstract
The original turbulent pipe flow experiments in the Princeton "Superpipe" by Zagarola & Smits (1997, 1998) at unprecedented laboratory Reynolds numbers have started an ongoing vigorous debate on the logarithmic law in the mean velocity profile and the intimately related question of Pitot probe corrections for mean shear, viscous effects and turbulence level. Considering that the Pitot probe diameter exceeded 7000 wall units at the highest Reynolds number, the various \textcolor{black}{traditional Pitot} corrections had to be extended into uncharted territory \textcolor{black}{where they may no longer be additive}. In this note, the inverse approach is adopted, where the net result of all the corrections is assumed to be compatible with the model for developed by \cite{Monk17}. The latter has an inner part which is, up to higher order corrections, identical to the…
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Taxonomy
TopicsFluid Dynamics and Turbulent Flows · Wind and Air Flow Studies · Aerodynamics and Acoustics in Jet Flows
Derivation of Pitot corrections for the Zagarola & Smits Superpipe data
and their composite fit
Peter A. Monkewitz \corresp
Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015, Lausanne, Switzerland
Abstract
Rejected by JFM Rapids, May 2018
The original turbulent pipe flow experiments in the Princeton “Superpipe” by Zagarola & Smits (1997, 1998) at unprecedented laboratory Reynolds numbers have started an ongoing vigorous debate on the logarithmic law in the mean velocity profile and the intimately related question of Pitot probe corrections for mean shear, viscous effects and turbulence level. Considering that the Pitot probe diameter exceeded 7000 wall units at the highest Reynolds number, the various traditional Pitot corrections had to be extended into uncharted territory where they may no longer be additive. In this note, the inverse approach is adopted, where the net result of all the corrections is assumed to be compatible with the model for developed by Monkewitz (2017). The latter has an inner part which is, up to higher order corrections, identical to the zero pressure gradient turbulent boundary layer profile and switches around to a logarithmic overlap layer with a Kármán “parameter” that depends on pressure gradient and possibly on other flow parameters. The simplicity of the resulting global Pitot correction proportional to , with only two fitting parameters, indirectly supports this model. Based on the required equality of the overlap and centerline ’s, it is furthermore shown that must be a constant. Finally, the outer “wake” part of the profile is argued to be asymptotically linear between the wall and about half the pipe radius. This gives rise to a linear higher order tail in the logarithmic overlap layer, which has been the subject of asymptotic analysis over the last decades.
1 The problem with the Kármán constant in pipe flow
In early pipe flow experiments, the emphasis has been on the scaling of the centerline velocity and the friction factor with Reynolds number. As measurement techniques have evolved, attention has shifted towards the “law of the wall” , where is the celebrated Kármán “constant”. In the last years the value of in pipes has closely approached the “most popular” value of 0.384 for the zero-pressure-gradient boundary layer (Furuichi et al., 2015; Örlü et al., 2016), which seemingly supports the claim of (see e.g. Marusic et al., 2013; Krug et al., 2017, and others), that is universal for zero-pressure-gradient boundary layers, pipe and channel flows.
Here and in the following, “+” superscripts indicate non-dimensionalization with wall units and , where hats indicate dimensional quantities. The relevant Reynolds number for pipe flow is , with the pipe radius.
Since the pioneering work of Coles (1956) it has been recognized that in turbulent wall-bounded flows, the logarithmic overlap layer or common part of the “inner” and “outer” asymptotic expansions of the mean velocity necessarily entails a free stream velocity or centerline velocity of the form , with the same logarithmic slope . While in the zero-pressure-gradient turbulent boundary layer, henceforth abbreviated ZPG TBL, the equality of ’s obtained from the overlap layer and from the evolution of the free-stream velocity with Reynolds number has remained non-controversial (see e.g. Monkewitz et al., 2007; Marusic et al., 2010), the ’s extracted by different authors from pipe flow profiles have not converged to a generally agreed value, as already discussed by Nagib & Chauhan (2008) and shown in figure 1. What is striking in this figure, is the rather clear separation of reported values according to the Reynolds number range of the experiment: while the ’s remain within 0.005 of the widely accepted ZPG TBL value of 0.384 for , they jump to 0.42 and beyond in experiments with .
Apart from the data of Nikuradse (1932), difficult to assess, the Princeton Superpipe data were for a long time the only laboratory data beyond an of and the ’s from the log-law and from the centerline were in agreement, as they should be. However, the log-laws identified by Zagarola & Smits (1998) with and by McKeon et al. (2004) with only started beyond a of the order of , as opposed to in pipe experiments at lower Reynolds numbers and in the ZPG TBL. This gave rise to extended controversies about Pitot corrections (see e.g. Perry et al., 2001; Bailey et al., 2013; Vinuesa et al., 2016) and to speculations about a “mixing transition” of pipe flow at (McKeon et al., 2005). Only recently, Monkewitz (2017) proposed a resolution of this conundrum. He showed that in pipe and channel flows, where the effect of pressure gradient on the near-wall momentum balance is weak, mean velocity profiles are well described by the ZPG TBL profile up to , implying that the pipe profile includes the beginning of the ZPG TBL log-law with . Beyond this wall distance, the inner pipe profile veers off to the “true” overlap log-law with a pipe-specific significantly higher than 0.384. Considering that beyond , with the outer coordinate, the overlap log-law becomes progressively contaminated by the wake, the clean overlap log-law only becomes visible for , which corresponds in practice to , as seen in figure 1.
2 The Pitot and other corrections for the Zagarola & Smits data
2.1 Roughness correction
At the higher , the Hama-like roughness correction of Monkewitz (2017)
[TABLE]
has been applied, which is in line with the investigation of Allen et al. (2005) and significantly affects the profiles only for .
2.2 “Reverse engineering” of the Pitot correction for the Zagarola & Smits data
The resolution of the discrepancy between ’s from low and high Reynolds number experiments by Monkewitz (2017) is supported by the success of using his idea “backwards”, i.e. to assume that the near-wall profiles are identical in pipe and ZPG TBL, and modelled by the Musker profile modified by Chauhan et al. (2009):
[TABLE]
where , and . With and the parameter , the Musker profile (2.2) asymptotes to , as in Monkewitz (2017) (Note that in appendix A of Monkewitz (2017) the above two arctan have been combined into one, which requires a branch switch at , i.e. the addition of for ).
The new global Pitot correction for the raw Superpipe data of Zagarola & Smits (1998) (available at https://smits.princeton.edu/zagarola/ and henceforth referred to as Z&S data) is now obtained by fitting the difference between the uncorrected Z&S data and the inner expansion in the ZPG TBL, modeled by equation (2.2). This difference is found to depend logarithmically on and scale as for the fixed ratio (mm) used by Zagarola & Smits (1998). As seen in figure 2a, the resulting collapse of the Z&S data is exceptionally good and nicely fitted by the simple global Pitot correction
[TABLE]
The scaling of with is further verified in figure 2b for the data below of 50, where the normalizing factor (the RHS of equ. 3) is sufficiently larger than the combined uncertainties of the data and of the Musker-Chauhan fit (2.2). Finally, the exponent in is found with the help of data in Appendix C of McKeon (2003), obtained with four different Pitot diameters at two of 1825 and 3328, and only corrected for static pressure errors. The normalized resulting from the choice are seen in figure 2c to scatter considerably for (even earlier for the smallest Pitot diameter of 0.3 mm), but will not be needed in the following which deals exclusively with the Z&S Superpipe data.
In conclusion, since equation (3) models the combined effect of different physical phenomena, no simple explanation for the proportionality of to nor its logarithmic dependence on can be offered. One can only speculate about the reasons for the superior data collapse obtained by the present “black box” approach, as compared to the individual, physics-based corrections of Zagarola & Smits (1998), McKeon et al. (2003), Bailey et al. (2013) and Vinuesa et al. (2016). One possibility is that individual corrections may no longer be additive for very large , which exceed 7000 at the highest .
3 Composite expansion for the mean velocity
3.1 The inner profile
The different asymptotic regions for the data of Zagarola & Smits (1998), corrected according to equations (1) and (3), are shown in figure 3. In panel (a), only the ZPG TBL inner profile (2.2) is subtracted and the data are seen to switch around from the ZPG log-law with to the “true” leading order overlap log-law with the pipe-specific
[TABLE]
which is the common part “cp” of the inner and outer expansions. Note that relative to Monkewitz (2017), the switch from the ZPG log-law to the log-law (4) has been lowered from 500 to 400. As an aside, the original corrected data in fig. 17 of Zagarola & Smits (1998) are seen in figure 3a to be under-corrected below .
The complete leading order inner expansion for the pipe is now modelled as in Monkewitz (2017) by
[TABLE]
with given by equ. (4). As dictated by asymptotic matching principles, the overlap log-law (4) has the same as the centerline log-law
[TABLE]
This is again evident in figure 3b, where only the common part (equ. 4) has been subtracted from the data to show the excellent collapse of all the data below onto the Musker-Chauhan profile (2.2), as intended with the correction scheme of section 2.2.
Finally, in view of the different proposals for the start of the pipe overlap log-law, for instance proposed by Marusic et al. (2013) and others, the present scaling for the start of the overlap log-law in equation (3.1) and figure 3a requires a closer examination. Replacing in the logarithm of equation (3.1) by , for instance, modifies figure 3b to figure 4, where is no longer equal to the overlap of 0.436, as required by the leading order matching between the overlap and outer profiles. The reason for this is easily identified by evaluating the limit of the modified equation (3.1) for , resulting in a modification of the common part (equ. 4) to . Subtracting this modified common part from the data yields a wake function which decreases as on the centerline, corresponding to a centerline kappa of , as seen in figure 4. This argument against a Reynolds number dependent , i.e. the lower end of the overlap log-law, is independent of the actual value of the overlap kappa and the power of in constant. In practice, the problem “disappears” in the data uncertainty for sufficiently small , but must remain of concern when speculating about the infinite Reynolds number limit.
3.2 The linear part of the outer “wake” profile
Driven by the desire to obtain more reliable values for the Kármán parameter from data at moderate Reynolds numbers, Yajnik (1970), Afzal (1976, 1996), Jiménez & Moser (2007) and Luchini (2017), among others, have proposed various higher order corrections to the log-law, notably linear corrections . While most of these proposed corrections were justified by asymptotic matching arguments, it is argued here that the linear correction in the overlap layer is just the tail of the linear part of the outer wake profile, and therefore dependent on the outer boundary conditions. This is demonstrated with the pipe DNS of El Khoury et al. (2013). It is straightforward to determine the effective turbulent viscosity from the momentum equation and the computed mean velocity derivative. Beyond the inner region it is, in outer variables, equal to (see e.g. Wilcox, 1993, section 3.5). As shown in figure 5a, is well fitted by
[TABLE]
For small , the fit (7) corresponds to
[TABLE]
From figure 5b it is obvious that the linear term in equation (8) needs to be offset by an estimated to obtain good fits at the lower . This is achieved by the construction
[TABLE]
where smoothes the corner at and the constants in the argument of the logarithm in equation (9) ensure that . For large , the first logarithmic term of quickly approaches the straight line , shown in figure 5b. The zero centerline slope is obtained with the function which has a slope of unity on the centerline and is proportional to for . The choice of in equation (9) ensures that, after the offset by , remains linear up to .
It is noted in passing that the two wake profiles in figure 5b, obtained from the DNS of El Khoury et al. (2013), show some suspicious “humps” near the origin. They are clearly the result of an imperfect “overshoot” term in the Musker-Chauhan fit, the last term of equation (2.2), which should go to zero faster below and be higher at these low . However, since the appropriate higher order corrections in the inner region, presumably of like the quadratic term in the Taylor expansion of about the origin, have no direct bearing on the present analysis, no effort has been made here to improve equation (2.2).
The present construction of the linear term in the outer expansion shows that its coefficient depends on the entire outer shape of the turbulent viscosity and not on some matching condition in the overlap layer. For pipe and channel, must be symmetric about the centerline. Assuming that it can be represented as a polynomial in powers of , as in equation (7), a linear term in the outer velocity profile is unavoidable, except in the unlikely case that the coefficients of all the -terms of sum up to . The situation is different for the ZPG TBL where the departure from the log-law is , according to the data analysis of Monkewitz (2017), implying a small- expansion of of the form .
The discussion on how the slope of 2.43 for the linear part of the pipe wake might be connected to the pressure gradient parameter is postponed to the concluding section 4.
3.3 The complete outer pipe profile
The obvious question is now whether the term of equation (9), deduced from the DNS of El Khoury et al. (2013), also “works” for the Z&S data. Figure 6a shows that it does, and that the Z&S data all fall between the for the lowest of 850 and . Since the data scatter in figure 6a is of the same magnitude as the difference between these two , only an average corresponding to is subtracted from the data to obtain figure 6b which shows that the pipe wake is well described by , i.e. is linear in the interval .
The last step towards the composite expansion is to compensate the centerline slope of caused by the log-law in . This is easily achieved by adding to the data of figure 6b , resulting in the rather satisfactory fit of shown in figure 6c, and given by
[TABLE]
with defined by equation (10). It is worth reiterating here that the leading behavior of the present wake fit (12) is linear in , with a higher order offset. This is qualitatively different from previous fits, including the one in Monkewitz (2017), which were all variations of Coles’ sin2 wake function, i.e. for small . Only at low there is some resemblance between the new and the traditional pipe wake functions due to the offset in equation (9).
4 Conclusions
In conclusion, the extreme simplicity of the present Pitot correction of the original Superpipe data of Zagarola & Smits (1998) strongly supports the notion of Monkewitz (2017) that the near-wall velocity profile in the pipe is, within experimental uncertainty and up to small corrections, equal to the ZPG TBL profile out to , where the pipe profile switches to the overlap log-law (4) with a pipe-specific Kármán parameter of 0.436. Comparing with the Superpipe data of McKeon et al. (2004) used in Monkewitz (2017), the difference between overlap ’s - 0.436 versus 0.421 - is on the high side of uncertainty estimates (see e.g. Bailey et al., 2014). One reason may be that the data set of Zagarola & Smits (1998) contains more low Reynolds number profiles than the one of McKeon et al. (2004). Eliminating the Z&S profiles below does reduce their centerline from 0.436 to 0.430, but in view of the increasing uncertainty of the Pitot corrections with Reynolds number and the centerline of 0.446 recently found in the CICLoPE pipe by Nagib et al. (2017), the original overlap of 0.436 appears to be a reasonable value for the pipe and has been maintained for the present analysis.
The important finding here is that the sequence of asymptotic regions is the same for the two Superpipe data sets and the structure of the fitting functions for the different asymptotic regions is identical to the one in Monkewitz (2017), despite the different ’s. The substantial difference to previous fits is the new wake function which is asymptotically linear over about half the pipe radius and represents a radical departure from the traditional type function, originally introduced by Coles (1956). This asymptotically linear outer departure from the log-law suggests that the linear higher order corrections to the log-law (see e.g. Luchini, 2017, and references therein) are slaved to the outer expansion and not an intrinsic consequence of asymptotic matching.
It is now natural to ask if and how the slope of is related to the pressure-gradient parameter . Since the wake of ZPG TBL’s shows no linear part, it is tempting to make the slope of proportional to , at least for . However, the geometry and in particular transverse wall curvature are known to also modify the asymptotic structure and are therefore expected to contribute to the slope of in a non-trivial way. In particular flat plate TBL’s in weak pressure gradients are expected to have a linear wake part different from pipe and channel, because of the different free stream boundary conditions for the turbulent viscosity .
To close the discussion, the channel DNS of Lee & Moser (2015) for is reanalyzed with the methodology of the present paper. Maintaining the overlap at 0.413 as in Monkewitz (2017), but shifting the break between the ZPG and channel log-laws to yields the wake profile of figure 7. As for the pipe, it is first fitted by , given by
[TABLE]
with defined by equation (10). Adding just to fix the centerline slope leads to a near perfect composite fit. It is intriguing to find that the slopes of the linear wake component in pipe and channel, fitted here as 2.43 and 1.23, are related by a factor of 2. It is left to the reader to speculate whether the two slopes should be fitted by or by a more complicated function of , transverse wall curvature, or other parameters.
Acknowledgements.
The author is most grateful to Hassan Nagib for his helpful comments on various points addressed in this paper.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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