2012
DOI: 10.2478/s11600-012-0055-3
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Turbulence in mobile-bed streams

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Cited by 102 publications
(39 citation statements)
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“…This is typical of a stochastic process where particle concentration is closely related to that of the turbulence fluctuation arising from large eddies as shown in the work of (Liu et al, 2012). Such episodic events could occur at any location of the bed, with short periods of considerable sediment movement intermingled with long periods of negligible transport (Dey et al, 2012).…”
Section: Spectral Analysis Of Turbulence and Suspensionmentioning
confidence: 83%
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“…This is typical of a stochastic process where particle concentration is closely related to that of the turbulence fluctuation arising from large eddies as shown in the work of (Liu et al, 2012). Such episodic events could occur at any location of the bed, with short periods of considerable sediment movement intermingled with long periods of negligible transport (Dey et al, 2012).…”
Section: Spectral Analysis Of Turbulence and Suspensionmentioning
confidence: 83%
“…This is evident in the turbulent "bursting" process (Kline et al, 1967; Kline, 1974, 1975), which is a critical mechanism for production of turbulent kinetic energy (Dey et al, 2012;Schoppa and Hussain, 2002). Turbulent bursting may be explained by the advection of spatially distributed vortices and structural features past a fixed point of measurement (Robinson, 1991), although this may not detect how such vortices evolve in time (Schoppa and Hussain, 2002).…”
Section: Introductionmentioning
confidence: 99%
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“…In order to check the uncertainty associated with the ADV data, 16 pulses of 30,000 samples for a duration of 5 min each have been collected at a location 3 mm above the bed level (Table 2), where, u, v, and w are the time-averaged velocities in the streamwise, lateral, and vertical directions, respectively; u′, v′, and w′ are the fluctuating components of the instantaneous velocities in the streamwise, transverse, and vertical directions, respectively; and ðu 0 u 0 Þ 0:5 , ðv 0 v 0 Þ 0:5 , and ðw 0 w 0 Þ 0:5 are the root mean square values of u′, v′, and w′, respectively. Spikes in the velocity time series were filtered by using the acceleration threshold method (Goring and Nikora, 2002) with threshold values 1-1.5 based on trial and error (Dey et al, 2012) such that there was a satisfactory fit in the velocity power spectra with Kolmogorov's −5/3 law in the inertial subrange. Velocity power spectra (S uu (f)) for streamwise velocities of no seepage and seepage runs is shown in Fig.…”
Section: Experimental Methodologymentioning
confidence: 99%