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Journal ArticleDOI

Total pressure fluctuations and two-phase flow turbulence in hydraulic jumps

05 Nov 2014-Experiments in Fluids (Springer Berlin Heidelberg)-Vol. 55, Iss: 11, pp 1847
TL;DR: In this paper, the total pressure and air-water flow properties were measured simultaneously with intrusive probes, namely a miniature pressure transducer and a dual-tip phase-detection probe, in the jump roller.
Abstract: The large-scale turbulence and high air content in a hydraulic jump restrict the application of many traditional flow measurement techniques. This paper presents a physical modelling of hydraulic jump, where the total pressure and air–water flow properties were measured simultaneously with intrusive probes, namely a miniature pressure transducer and a dual-tip phase-detection probe, in the jump roller. The total pressure data were compared to theoretical values calculated based upon void fraction, water depth and flow velocity measured by the phase-detection probe. The successful comparison showed valid pressure measurement results in the turbulent shear region with constant flow direction. The roller region was characterised by hydrostatic pressure distributions, taking into account the void fraction distributions. The total pressure fluctuations were related to both velocity fluctuations in the air–water flow and free-surface dynamics above the roller, though the time scales of these motions differed substantially.

Summary (1 min read)

1 Introduction

  • The jump toe, where the upstream flow impinges into the downstream region, is a singular locus with discontinuity in velocity and pressure fields (Rajaratnam 1967).
  • Any theoretical and numerical analyses of hydraulic jumps are based upon a large number of relevant equations to describe the two-phase turbulent flow motion and the interaction between entrained air and turbulence.
  • The phase-detection probe was excited by an electronic system designed with a response time less than 10 µs, and scanned at 5 kHz simultaneously with the total pressure probe and an acoustic displacement meter above the probe leading tip.
  • The simultaneous sampling of all instruments was performed for 180 s at each measurement location.

3 Results

  • 1 Basic flow patterns Observations showed some enhanced flow aeration and turbulent fluctuations with increasing Froude number.
  • Figure 4 shows a comparison between the vertical void fraction distributions in the present study and Wang & Chanson (2014) for identical flow conditions and longitudinal positions.
  • The instantaneous bubble distribution was highly affected by the turbulent flow structures, and bubbles tended to travel in clusters rather than in randomness (Chanson 2007).
  • The turbulence intensity Tu" deduced from the high-frequency signal component reflected the 'true' turbulence of the flow.

4 Discussion: characteristic total pressure fluctuation frequencies

  • The instantaneous total pressure signals exhibited some pseudo-periodic patterns.
  • The analysed characteristic total pressure fluctuation frequencies are summarised in Table 2.
  • The relatively high-frequency filtered signals (0 – 25 Hz) exhibited a range of typical fluctuation frequencies Fp(H) between 8 and 12 Hz, whereas the low-frequency filtered signals (0 – 5 Hz) gave a frequency Fp(L) about 2.6 Hz.
  • Figure 15a shows a smaller dimensionless frequency Fp(H)×d1/V1 for a higher Froude number, which decreased with increasing distance from the jump toe.
  • The comparable decreasing trends along the roller might suggest some correlation between the detected pressure fluctuations and the turbulent air-water flow features, of which the longitudinal decay was related to the diffusion and dispersion of bubbly flow structures as well as the turbulence dissipation.

4 Conclusion

  • The total pressure and air-water flow properties were measured simultaneously at adjacent locations in hydraulic jump rollers, together with the water level fluctuations above.
  • Four Froude numbers were investigated with the same intake aspect ratio and inflow length, corresponding to partiallydeveloped inflow conditions.
  • The bubble count rate was however underestimated when the Froude and Reynolds numbers were large.
  • The total pressure was predicted based upon the void fraction and velocity data, and the predictions agreed well with experimental results given by the total pressure probe.
  • This was supported by comparison between relative total pressure fluctuation and turbulence intensity, and a preliminary investigation of pressure fluctuation frequencies.

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WANG,H.,MURZYN,F.,andCHANSON,H.(2014)."TotalPressureFluctuationsandTwoPhaseFlowTurbulenceinHydraulicJumps."
ExperimentsinFluids,Vol.55,No.11,Paper1847,16pages(DOI:10.1007/s0034801418479)(ISSN07234864).
1
Total pressure fluctuations and two-phase flow turbulence in hydraulic
jumps
Hang Wang (
1
) (*), Frédéric Murzyn (
2
) and Hubert Chanson (
1
)
(
1
) The University of Queensland, School of Civil Engineering, Brisbane QLD 4072, Australia
(
2
) ESTACA Campus Ouest, Parc Universitaire de Laval Changé, BP 53061 Laval Cedex 9, France
(*) Corresponding author: hang.wang@uqconnect.edu.au
Abstract
The large-scale turbulence and high air content in a hydraulic jump restrict the application of many
traditional flow measurement techniques. This paper presents a physical modelling of hydraulic jump,
where the total pressure and air-water flow properties were measured simultaneously with intrusive
probes in the jump roller, namely a miniature pressure transducer and a dual-tip phase detection
probe. The total pressure data were compared to theoretical values calculated based upon void
fraction, water depth and flow velocity measured by the phase-detection probe. The successful
comparison showed valid pressure measurement results in the turbulent shear region with constant
flow direction. The roller region was characterised by hydrostatic pressure distributions, taking into
account the void fraction distributions. The total pressure fluctuations were related to both velocity
fluctuations in the air-water flow and free-surface dynamic above the roller, though the time scales of
these motions deferred substantially.
Keywords
Hydraulic jump, Total pressure, Two-phase flow, Turbulence, Physical modelling
List of symbols
C Time-averaged void fraction
C
max
Local maximum time-averaged void fraction in the shear flow region
D
#
Dimensionless diffusivity in the turbulent shear region
D* Dimensionless diffusivity in the free-surface region
d
1
Inflow water depth immediately upstream of the jump toe [m]
F Bubble count rate [Hz]
F
clu
Longitudinal bubble cluster count rate [Hz]
(F
clu
)
max
Maximum cluster count rate in the shear flow region [Hz]
F
fs
Characteristic free-surface fluctuation frequency [Hz]
F
max
Maximum bubble count rate in the shear flow region [Hz]
F
p
(H)
Upper total pressure fluctuation frequency [Hz]
F
p
(L)
Lower total pressure fluctuation frequency [Hz]
Fr
1
Inflow Froude number,
11 1
Fr = V g×d
g Gravity acceleration [m/s
2
]
h Upstream gate opening [m]
L
r
Length of jump roller [m]
P Time-averaged total pressure [Pa]
P
k
Kinetic pressure [Pa]
P
max
Maximum mean total pressure in the shear flow region [Pa]
P
o
Piezometric pressure [Pa]
p' Standard deviation of total pressure [Pa]
p'
max
Maximum total pressure fluctuation [Pa]
Q Flow rate [m
3
/s]

WANG,H.,MURZYN,F.,andCHANSON,H.(2014)."TotalPressureFluctuationsandTwoPhaseFlowTurbulenceinHydraulicJumps."
ExperimentsinFluids,Vol.55,No.11,Paper1847,16pages(DOI:10.1007/s0034801418479)(ISSN07234864).
2
Re
Reynolds number,
11
Re =ρ×V ×d μ
T Time lag for maximum cross-correlation coefficient [s]
T
0.5
Time lag for maximum auto-correlation coefficient [s]
Tu Turbulence intensity
Tu" Decomposed turbulence intensity of high-frequency signal component
U Free-stream velocity in upstream supercritical flow [m/s]
V Average air-water interfacial velocity [m/s]
V
max
Maximum interfacial velocity in the shear flow region [m/s]
V
recirc
Average recirculation velocity in the free-surface region [m/s]
V
1
Average inflow velocity [m/s]
v' Standard deviation of interfacial velocity [m/s]
W Channel width [m]
x Longitudinal distance from the upstream gate [m]
x
1
Longitudinal position of jump toe [m]
Y
Cmax
Characteristic elevation of local maximum void fraction in the shear region [m]
Y
Fmax
Characteristic elevation of maximum bubble count rate in the shear region [m]
Y
Pmax
Characteristic elevation of maximum mean total pressure in the shear region [m]
Y
p'max
Characteristic elevation of maximum total pressure fluctuation in the shear region
[m]
Y
Vmax
Characteristic elevation of maximum interfacial velocity in the shear region [m]
Y
0.5
Characteristic elevation of half maximum interfacial velocity [m]
Y
50
Characteristic elevation where C = 0.5 [m]
Y
90
Characteristic elevation where C = 0.9 [m]
y Vertical distance from the channel bed [m]
y* Characteristic elevation of local minimum void fraction [m]
z Transverse distance from the channel centreline [m]
Δx Longitudinal separation distance between two phase-detection probe sensors [m]
δ Inflow boundary layer thickness at channel bed [m]
μ Water dynamic viscosity [Pa×s]
ρ
Water density [kg/m
3
]
τ Time lag [s]
τ
0.5
Time lag between maximum and half maximum cross-correlation coefficient [s]
1 Introduction
A hydraulic jump is a rapidly-varied open channel flow characterised by a sudden transition from a
supercritical flow motion to a subcritical regime. The jump toe, where the upstream flow impinges
into the downstream region, is a singular locus with discontinuity in velocity and pressure fields
(Rajaratnam 1967). The transition region immediately downstream of the toe is named the jump
roller because of the presence of large-scale vortices and flow recirculation. The jump roller is a
turbulent two-phase flow region with coexistence of and interaction between air entrainment,
turbulence and flow instabilities.
The turbulent nature of hydraulic jump leads to an efficient energy dissipation rate. For example, an
inflow Froude number Fr
1
= 9 gives a theoretical energy dissipation rate exceeding 70%, where the
Froude number is defined as Fr
1
= V
1
×(g×d
1
)
-1/2
, V
1
being the average inflow velocity and d
1
the
inflow depth. Therefore hydraulic jumps are often generated in hydraulic structures for the purpose

WANG,H.,MURZYN,F.,andCHANSON,H.(2014)."TotalPressureFluctuationsandTwoPhaseFlowTurbulenceinHydraulicJumps."
ExperimentsinFluids,Vol.55,No.11,Paper1847,16pages(DOI:10.1007/s0034801418479)(ISSN07234864).
3
of energy dissipation (Fig 1). However, the large shear force and fluctuating motions of the flow may
challenge the strength of construction, e.g., on the bottom of the jump in a stilling basin. In the early
20
th
century, the attention to hydraulic jump was first triggered with the design of energy dissipators,
which was developed by USBR (U.S. Bureau of Reclamation) in 1940s and 1950s (Riegel and Beebe
1917, Peterka 1958). A number of studies contributed to the pressure quantification mainly beneath
hydraulic jumps (Vasiliev & Bukreyev 1967, Schiebe 1971, Abdul Khader & Elango 1974, Lopardo
& Henning 1985, Fiorotto & Rinaldo 1992, Yan & Zhou 2006, Lopardo & Romagnoli 2009). The
relationship between cavitation occurrence and pressure fluctuations was investigated (Narayanan
1980). The pressure fluctuations were further correlated with water level fluctuations and/or velocity
turbulence in some limited flow conditions with minor aeration (Onitsuka et al. 2009, Lopardo 2013).
In most prototype conditions with large inflow Froude number, the air entrainment in hydraulic jump
is significant. Air entrapped at the jump toe as well as through the rough roller surface is advected
downstream by large vortical structures (Long et al. 1991). The diffusive advection of air bubbles
interplays with the turbulence development. The studies of two-phase flow properties were
represented by Rajaratnam (1962), Resch & Leutheusser (1972) and Chanson (1995) describing the
air concentration and interfacial velocity characteristics using air-water interface detection
techniques. The turbulence characterisation was promoted by Chanson & Toombes (2002) and
Chanson & Carosi (2007) and recently developed by Wang et al. (2014) based upon statistical
analysis of interface detection signals. In a few attempts of numerical modelling, the air entrainment
was rarely taken into account together with the dynamic features of the flow (Richard & Gavrilyuk
2013). Physical modelling with consideration of simultaneous air entrainment and flow
turbulence/fluctuations included Cox & Shin (2003), Murzyn & Chanson (2009) and Wang &
Chanson (2014).
Direct pressure measurement in hydraulic jump flows with strong air entrainment are lacking despite
the significance in hydraulic engineering. This paper presents new experiments measuring the total
pressure distributions within the jump roller. The air-water flow properties were characterised at the
adjacent locations, and the water level fluctuations above were recorded as well. The application of
total pressure transducer in such turbulent bubbly flow was justified by a comparison between the
total pressure output and calculations based upon air-water flow measurement results. The present
work provides new information on the flow regime and fluctuating nature of hydraulic jumps, and
allows further investigation on the interactions between turbulence, aeration and flow instabilities in
such a flow.
2 Physical modelling and instrumentation
2.1 Dimensional considerations
Any theoretical and numerical analyses of hydraulic jumps are based upon a large number of
relevant equations to describe the two-phase turbulent flow motion and the interaction between
entrained air and turbulence. The outputs must be tested against a broad range of gas-liquid flow
measurements:"Unequivocally [...] no experimental data means no validation" (Roache 2009).
Physical modelling requires the selection of a suitable dynamic similarity (Liggett 1994).
Considering a hydraulic jump in a smooth horizontal rectangular channel, dimensional
considerations give a series of dimensionless relationships in terms of the turbulent two-phase flow
properties at a position (x,y,z) within the hydraulic jump roller as functions of the inflow properties,
fluid properties and channel configurations. Using the upstream flow depth d
1
as the characteristic
length scale, a dimensional analysis yields

WANG,H.,MURZYN,F.,andCHANSON,H.(2014)."TotalPressureFluctuationsandTwoPhaseFlowTurbulenceinHydraulicJumps."
ExperimentsinFluids,Vol.55,No.11,Paper1847,16pages(DOI:10.1007/s0034801418479)(ISSN07234864).
4
11 11
1
22
11111 111111
F×d x-x v ' x
Pp'Vv' yz W
, , , ,C, ,... = F , , ,Fr ,Re, , , ,...
0.5×ρ×V 0.5×ρ×V V V V d d d V d d



(1)
where P and V are the total pressure and velocity respectively, p' and v' are pressure and velocity
fluctuations, C is the void fraction, F is the bubble count rate, x
1
is the jump toe position, Re is the
Reynolds number, W is the channel width and the subscript 1 refers to the inflow conditions. In a
hydraulic jump, the momentum considerations demonstrated the significance of the inflow Froude
number, and the selection of the Froude similitude derives implicitly from basic theoretical
considerations (Lighthill 1978, Liggett 1994). Equation (1) shows that measurements in small size
models might be affected by viscous scale effects because the Reynolds number is grossly
underestimated. In the present study, the experiments were performed in a relatively large-size
facility to minimise scale effects (Murzyn & Chanson 2008, Chanson & Chachereau 2013).
2.2 Experimental setup and flow conditions
The experimental channel was 3.2 m long and 0.5 m wide, built with horizontal HDPE bed and 0.4 m
high glass sidewalls (Fig 1b). The inflow was supplied to the flume from a constant head tank. A
rounded undershoot gate of the head tank induced a horizontal impinging flow without contraction.
The gate opening was set at h = 0.02 m, and hydraulic jumps were generated at x
1
= 0.83 m
downstream of the gate. The inflow depth was measured using a point gauge right upstream of the
jump toe. The tailwater depth and jump toe position were controlled by an overshoot gate at the end
of the channel. The flow rate was measured with a Venturi meter in the supply line. While the flow
rate measurement was within an accuracy of 2%, the precision of the determination of inflow depth
and jump toe position relied largely on the fluctuation level of the flow.
Four inflow Froude numbers Fr
1
= 3.8, 5.1, 7.5 and 8.5 were tested, corresponding to Reynolds
numbers 3.5×10
4
< Re < 8.0×10
4
. The total pressure and two-phase flow properties were measured
locally with intrusive total pressure probe and phase-detection probe. The probes were placed side by
side with a 9 mm transverse distance between the sensor tips and sampled at a number of elevations
in a vertical cross-section on the channel centreline. The instantaneous water elevation above the
measurement location was measured non-intrusively with an acoustic displacement meter. The
instrumental setup is illustrated in Figure 2, and the flow conditions are summarised in Table 1 along
with the longitudinal positions of the scanned cross-sections. With an inflow length x
1
/h = 41.5, the
inflow conditions were characterised by partially-developed boundary layer at the channel bed (δ/d
1
< 1 at x = x
1
, Table 1, 7
th
column). Figure 3a presents typical inflow velocity profiles measured with
a Prandtl-Pitot tube along the channel centreline. A developing boundary layer was shown with a
constant free-stream velocity U. Figure 3b compares the free-stream velocity U with the average
inflow velocity V
1
for a broader range of flow conditions. The results indicated U 1.1×V
1
because
the velocities in boundary layers were lower than the cross-sectional average. Resch & Leutheusser
(1972) and Thandaveswara (1974) compared the air-water flow properties for different types of
inflow conditions (partially-developed, fully-developed and per-entrained). The presence of highly-
aerated shear flow region (see 3.2.1 below) was only observed for partially-developed inflow
conditions, with the shortest aeration length (Chanson 1997).
2.3 Instrumentation
The total pressure probe consisted of a silicon diaphragm sensor mounted on the probe tip. The
sensor was a miniature Micro-Electro-Mechanical-System technology based pressure transducer
(Model MRV21, by MeasureX, Australia). Such a diaphragm pressure sensor is not affected by the

WANG,H.,MURZYN,F.,andCHANSON,H.(2014)."TotalPressureFluctuationsandTwoPhaseFlowTurbulenceinHydraulicJumps."
ExperimentsinFluids,Vol.55,No.11,Paper1847,16pages(DOI:10.1007/s0034801418479)(ISSN07234864).
5
presence of bubbles and does not require to be purged. The sensor had a 5 mm outer diameter with 4
mm diameter sensor. The model provided a measurement range between 0 and 1.5 bars (absolute
pressures). The response frequency was in excess of 100 kHz. The sampling frequency was set at 5
kHz in the present study, though the signal was filtered by a signal amplification system to eliminate
noises above 2 kHz. A daily calibration was conducted and regularly checked, because the output
voltage appeared to be temperature and ambient-pressure sensitive. The largest uncertainty of the
total pressure measurements was thought to be introduced by the fluctuations in atmospheric
pressure reading.
The dual-tip phase-detection probe was designed to pierce bubbles and droplets with its two needle
sensors and worked based upon the difference in electrical resistance between air and water. The
needle sensor tips (0.25 mm inner diameter) were separated longitudinally by Δx = 7.25 mm. While
the signal of each sensor gave the local void fraction and bubble count rate data, a cross-correlation
between the signals provided an average time T of the air-water interfaces travelling over the
distance Δx, yielding a mean longitudinal interfacial velocity V = Δx/T. The phase-detection probe
was excited by an electronic system designed with a response time less than 10 µs, and scanned at 5
kHz simultaneously with the total pressure probe and an acoustic displacement meter above the
probe leading tip. A Microsonic
TM
Mic+25/IU/TC acoustic displacement meter measured the
instantaneous water elevation with a 50 Hz response frequency which was lower than the sampling
rate. The sensor height was carefully adjusted to ensure that the displacement meter measurement
range covered the maximum free-surface fluctuations, and the erroneous samples caused by
splashing droplets were removed from the signal.
The simultaneous sampling of all instruments was performed for 180 s at each measurement location.
3 Results
3.1 Basic flow patterns
Observations showed some enhanced flow aeration and turbulent fluctuations with increasing Froude
number. The large-scale turbulent structures inside the roller were visualised by the entrained air
bubbles (Fig 1b). The formation of large turbulent structures was linked to the oscillations of jump
toe position and free-surface fluctuations (Long et al. 1991, Wang & Chanson 2014, Wang et al.
2014). These motions were observed in a pseudo-periodic manner, together with the associated air
entrapment and macroscopic variation in velocity and pressure fields. For instance, the slow pressure
pulsations could be felt by placing a hand in the roller. Basically the pulse of increasing impinging
pressure appeared to correspond to the downstream ejection of large vortices.
The water elevation measured along the channel centreline outlined the time-averaged free-surface
profiles similar to the visual observations. The length of hydraulic jump roller L
r
is defined as the
longitudinal distance over which the water elevation increases monotonically. The roller length was
derived from the free-surface profile and found to be an increasing function of the Froude number. A
linear relationship was given by the dataset consisting of Murzyn et al. (2007), Kucukali & Chanson
(2008), Murzyn & Chanson (2009), Wang & Chanson (2014) and the present study:
r
1
1
L
= 6×(Fr -1)
d
for 2 < Fr
1
< 10 (2)

Citations
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Journal ArticleDOI
TL;DR: A comparative performance analysis of the CFD platforms OpenFOAM and FLOW-3D is presented, focusing on a 3D swirling turbulent flow: a steady hydraulic jump at low Reynolds number, where both CFD codes had good behavior, but special care is required with swirling flows.
Abstract: A comparative performance analysis of the CFD platforms OpenFOAM and FLOW-3D is presented, focusing on a 3D swirling turbulent flow: a steady hydraulic jump at low Reynolds number. Turbulence is treated using RANS approach RNG k-e. A Volume Of Fluid (VOF) method is used to track the air-water interface, consequently aeration is modeled using an Eulerian-Eulerian approach. Structured meshes of cubic elements are used to discretize the channel geometry. The numerical model accuracy is assessed comparing representative hydraulic jump variables (sequent depth ratio, roller length, mean velocity profiles, velocity decay or free surface profile) to experimental data. The model results are also compared to previous studies to broaden the result validation. Both codes reproduced the phenomenon under study concurring with experimental data, although special care must be taken when swirling flows occur. Both models can be used to reproduce the hydraulic performance of energy dissipation structures at low Reynolds numbers. Two CFD models: OpenFOAM and FLOW-3D for hydraulic jump in low Reynolds numbers.Representative variables are compared for the two CFD results and experimental data.The model results are also compared to previous studies with good agreement.Both CFD codes had good behavior, but special care is required with swirling flows.A quantification of both models accuracy relating to studied variables is proposed.

131 citations

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TL;DR: In this article, the authors presented a direct numerical simulation of a stationary turbulent hydraulic jump with inflow Froude number of 2, Weber number of 1820 and density ratio of 831, consistent with ambient water-air systems, all based on the inlet height and inlet velocity.
Abstract: We present direct numerical simulation (DNS) of a stationary turbulent hydraulic jump with inflow Froude number of 2, Weber number of 1820 and density ratio of 831, consistent with ambient water–air systems, all based on the inlet height and inlet velocity A non-dissipative geometric volume of fluid (VOF) method is used to track the detailed interactions between turbulent flow structures and the nonlinear interface dynamics Level set equations are also solved concurrent with VOF in order to calculate the interface curvature and surface tension forces The mesh resolution is set to resolve a wide range of interfacial scales including the Hinze scale Calculations are compared against experimental data of void fraction and interfacial scales indicating, reasonable agreement despite a Reynolds number mismatch Multiple calculations are performed confirming weak sensitivity of low-order statistics and void fraction on the Reynolds number The presented results provide, for the first time, a comprehensive quantitative data for a wide range of phenomena in a turbulent breaking wave using DNS These include mean velocity fields, Reynolds stresses, turbulence production and dissipation, velocity spectra and air entrainment data In addition, we present the energy budget as a function of streamwise location by keeping track of various energy exchange processes in the wake of the jump The kinetic energy is mostly transferred to pressure work, potential energy and dissipation while surface energy plays a less significant role Our results indicate that the rate associated with various energy exchange processes peak at different streamwise locations, with exchange to pressure work flux peaking first, followed by potential energy flux and then dissipation The energy exchange process spans a streamwise length of order jump heights Furthermore, we report statistics associated with bubble transport downstream of the jump The bubble formation is found to have a periodic nature Meaning that the bubbles are generated in patches with a specific frequency associated with the roll-up frequency of the roller at the toe of the jump, with its footprint apparent in the velocity energy spectrum Our study also provides the ensemble-averaged statistics of the flow which we present in this paper These results are useful for the development and validation of reduced-order models such as dissipation models in wave dynamics simulations, Reynolds-averaged Navier–Stokes models and air entrainment models

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Cites background from "Total pressure fluctuations and two..."

  • ...Further observations include the integral turbulent length scale Lt characterising the size of large turbulent eddies advecting the bubbles in the hydraulic jump roller [34, 179]....

    [...]

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TL;DR: In this paper, a series of simultaneous measurements of the free-surface fluctuations, jump toe oscillations, void fraction and total pressure variations allowed for an investigation of the interactions between these characteristics.

31 citations


Cites background from "Total pressure fluctuations and two..."

  • ...This relatively low sample rate would lead to an underestimate of bubble count rate when the Reynolds number was high [43]....

    [...]

References
More filters
Journal ArticleDOI
TL;DR: In this article, certain statistical characteristics of the fluctaation of pressure at the bottom of a classical hydraulic jump are estimated using analog and digital modes of analysis of random data, which indicate a relatively higher intensity of pressure fluctuation because of the stage of development of the incoming supercritical stream.
Abstract: Certain statistical characteristics of the fluctaation of pressure at the bottom of a classical hydraulicjump are estimated using analog and digital modes of analysis of random data. The results indicate a relatively higher intensity of pressure fluctuation because of the stage of development of the incoming supercritical stream. The evaluated characteristics are, in general, similar in the investigated range of initial Froude number. The structure of the pressure field is discussed in terms of moments of the probability density histograms, shape of the autocorrelation and the spectral density functions and the estimated timemicroscales.

52 citations


"Total pressure fluctuations and two..." refers background in this paper

  • ...A number of studies contributed to the pressure quantification mainly beneath hydraulic jumps (Vasiliev and Bukreyev 1967; Schiebe 1971; Abdul Khader and Elango 1974; Lopardo and Henning 1985; Fiorotto and Rinaldo 1992; Lopardo and Romagnoli 2009). The relationship between cavitation occurrence and pressure fluctuations was investigated (Narayanan 1980). The pressure fluctuations were further correlated with water level fluctuations and/or velocity turbulence in some limited flow conditions with minor aeration (Onitsuka et al. 2009; Lopardo 2013). In most prototype conditions with large inflow Froude number, the air entrainment in hydraulic jump is significant. Air entrapped at the jump toe as well as through the rough roller surface is advected downstream by large vortical structures (Long et al. 1991). The diffusive advection of air bubbles interplays with the turbulence development. The studies of two-phase flow properties were represented by Rajaratnam (1962), Resch and Leutheusser (1972) and Chanson (1995) describing the air concentration and interfacial velocity characteristics using air–water interface detection techniques....

    [...]

  • ...(10) assumes implicitly a hydrostatic pressure distribution in the roller, following limited time-averaged bottom pressure data sets (Rajaratnam 1965; Abdul Khader and Elango 1974; Fiorotto and Rinaldo 1992)....

    [...]

  • ...A number of studies contributed to the pressure quantification mainly beneath hydraulic jumps (Vasiliev and Bukreyev 1967; Schiebe 1971; Abdul Khader and Elango 1974; Lopardo and Henning 1985; Fiorotto and Rinaldo 1992; Lopardo and Romagnoli 2009)....

    [...]

Journal ArticleDOI
TL;DR: In this paper, a hydraulic jump is the sudden transition from a high-velocity impinging flow into a turbulent roller in an open channel, and significant free-surface fluctuations take place above the roller.
Abstract: A hydraulic jump is the sudden transition from a high-velocity impinging flow into a turbulent roller in an open channel. Substantial amounts of air are entrapped at the impingement point, and significant free-surface fluctuations take place above the roller. In the present study, some physical modelling was conducted in a relatively large sized facility. The flow conditions included a wide ranges of inflow Froude numbers and Reynolds numbers (3.8 < Fr1 < 10.0, 2.1 × 104 < Re < 1.6 × 105). The fluctuating features of free-surface and roller position were investigated non-intrusively with a series of acoustic displacement meters. The characteristic frequencies of the fluctuating motions were documented, and some major roller surface deformation patterns were revealed. The air-water flow properties were investigated with an intrusive phase-detection probe. The void fraction and bubble count rate data were documented in the jump roller, together with the interfacial velocity distributions. The rate of ai...

50 citations


"Total pressure fluctuations and two..." refers background in this paper

  • ...Wang et al. (2014) identified the respective contributions of fast and slow turbulent motions by decomposing the phase-detection signal into the mean, low-frequency and high-frequency components....

    [...]

  • ...The formation of large turbulent structures was linked to the oscillations of jump toe position and free-surface fluctuations (Long et al. 1991; Wang et al. 2014)....

    [...]

  • ...The turbulence characterisation was promoted by Chanson and Toombes (2002) and Chanson and Carosi (2007) and recently developed by Wang et al. (2014) based upon statistical analysis of interface detection signals....

    [...]

  • ...The difference between Tu00 and Tu indicated considerable impact of slow fluctuating motions of the flow on the turbulence characterisation (Wang et al. 2014)....

    [...]

Journal ArticleDOI
TL;DR: In this article, a triple decomposition of air-water detection signal revealed "true" turbulent characteristics linked with the fast, microscopic velocity turbulence of hydraulic jumps, including turbulence intensity, longitudinal and transverse integral length and time scales.
Abstract: Intense turbulence develops in the two-phase flow region of hydraulic jump, with a broad range of tur- bulent length and time scales. Detailed air-water flow measurements using intrusive phase-detection probes enabled turbulence characterisation of the bubbly flow, although the phenomenon is not a truly random process because of the existence of low-frequency, pseudo-periodic fluctuating motion in the jump roller. This paper presents new measurements of turbulent properties in hydraulic jumps, including turbulence intensity, longitudinal and transverse integral length and time scales. The results characterised very high turbulent levels and reflected a combination of both fast and slow turbulent components. The respective contributions of the fast and slow motions were quantified using a triple decomposition technique. The decomposition of air-water detection signal revealed ''true'' turbulent characteristics linked with the fast, microscopic velocity turbulence of hydraulic jumps. The high-frequency turbulence intensities were between 0.5 and 1.5 close to the jump toe, and maximum integral turbulent length scales were found next to the bottom. Both decreased in the flow direction with longitudinal turbulence dissipation. The results highlighted the considerable influence of hydrodynamic instabilities of the flow on the turbulence characterisation. The successful application of triple decomposition technique provided the means for the true turbulence properties of hydraulic jumps.

49 citations


"Total pressure fluctuations and two..." refers background in this paper

  • ...The formation of large turbulent structures was linked to the oscillations of jump toe position and free-surface fluctuations (Long et al. 1991; Wang et al. 2014)....

    [...]

  • ...Wang et al. (2014) identified the respective contributions of fast and slow turbulent motions by decomposing the phase-detection signal into the mean, low-frequency and high-frequency components....

    [...]

  • ...a Hydraulic jump downstream of a salt water intrusion prevention weir at Jungmun, Jeju Island, Korea (2013). b Experimental hydraulic jump in horizontal rectangular channel. Flow from left to right. Flow conditions: Q = 0.0461 m(3)/s, d1 = 0.032 m, x1 = 1.25 m, Fr1 = 5.1, Re = 9.1 9 10 4 Exp Fluids (2014) 55:1847 Page 3 of 16 1847...

    [...]

  • ...The turbulence characterisation was promoted by Chanson and Toombes (2002) and Chanson and Carosi (2007) and recently developed by Wang et al. (2014) based upon statistical analysis of interface detection signals....

    [...]

  • ...The difference between Tu00 and Tu indicated considerable impact of slow fluctuating motions of the flow on the turbulence characterisation (Wang et al. 2014)....

    [...]

Journal ArticleDOI
TL;DR: In this paper, a comparative analysis of physical data is presented with a focus on a broad range of two-phase flow parameters, and the results show that, for hydraulic jumps with Fr-1 = 5.1, the void fraction data obtained with Re < 4 x 10(4) could not be scaled up to Re = 1 x 10 (5).

42 citations


"Total pressure fluctuations and two..." refers methods in this paper

  • ...In the present study, the experiments were performed in a relatively large-size facility to minimise scale effects (Murzyn and Chanson 2008; Chanson and Chachereau 2013)....

    [...]

Journal ArticleDOI
TL;DR: In this paper, the air diffusion takes place rapidly downstream of the nozzle and it is nearly independent of the momentum transfer process, and the distribution of air bubble frequency may be related to the air content distribution by a parabolic relationship.
Abstract: Turbulent water jets discharging into the atmosphere are often characterised by a substantial amount of free-surface aeration. The effects can be detrimental or beneficial. In any case, the knowledge of the air entrainment mechanisms is essential for an optimum design. New experimental data are presented in the developing flow region of two-dimensional water jets discharging into air. The results indicate that the air diffusion takes place rapidly downstream of the nozzle and it is nearly independent of the momentum transfer process. Further the distribution of air bubble frequency may be related to the air content distribution by a parabolic relationship

41 citations


"Total pressure fluctuations and two..." refers methods in this paper

  • ...The data fitted a Gaussian error function (Brattberg et al. 1998; Murzyn et al. 2005):...

    [...]

  • ...The data fitted a Gaussian error function (Brattberg et al. 1998; Murzyn et al. 2005): C ¼ 1 2 1þ erf y Y50 2 ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi D x x1ð Þ V1 q 0 B @ 1 C A 0 B @ 1 C A y [ y ð4Þ where Y50 is the characteristic elevation in the free-surface region with C = 0.5 and D*…...

    [...]

Frequently Asked Questions (1)
Q1. What are the contributions mentioned in the paper "Total pressure fluctuations and two-phase flow turbulence in hydraulic jumps" ?

This paper presents a physical modelling of hydraulic jump, where the total pressure and air-water flow properties were measured simultaneously with intrusive probes in the jump roller, namely a miniature pressure transducer and a dual-tip phase detection probe.