scholarly journals Scaling of Turbulent Spectra Measured in Mobile Bed Flows and Estimation of Turbulent Kinetic Energy Budgets

This study aims at quantifying experimentally the influence of bed load transport on velocity power spectrum of acoustic Doppler Velocimeter (ADV) and turbulent kinetic energy budget. Hydraulic flume was used for experimental investigations for bed load transport. Uniform size of gravels (d50 = 4 mm) were injected into the flows without bed-forms development and compared with those in clear water flows. A 5 cm down looking Vectrino+ of 10 MHz acoustic frequency was used to measure the velocity of flows. The velocity signals produced spikes in the Vectrino+ data on account of instrument noise and high-frequency fluctuations. Therefore, de-spiking and removal of contaminated data were very much essential to obtain clear velocity power spectra for the ADV data sets. The velocity power spectra of filtered dataset followed the Kolmogorov “–5/3 scaling-law” in the inertial frequency range. At low frequencies, another scaling regime with spectral slope of about −1.0 is found resulting a shifting of turbulent power production subrange towards the high frequency regime and it is interpreted as the signature of sediment mobility without bed form development. Interestingly, the bed lad transport reduced the TKE dissipation rate and sharply changed the pressure energy diffusion rate which corroborated a gain in turbulence production.

2010 ◽  
Vol 13 (3) ◽  
pp. 78-87
Author(s):  
Hoai Cong Huynh

The numerical model is developed consisting of a 1D flow model and the morphological model to simulate the erosion due to the water overtopping. The step method is applied to solve the water surface on the slope and the finite difference method of the modified Lax Scheme is applied for bed change equation. The Meyer-Peter and Muller formulae is used to determine the bed load transport rate. The model is calibrated and verified based on the data in experiment. It is found that the computed results and experiment data are good agreement.


1996 ◽  
Vol 40 ◽  
pp. 813-818
Author(s):  
Minoru HARADA ◽  
Kazuo ASHIDA ◽  
Takashi DENO ◽  
Yuji OHMOTO

2016 ◽  
Vol 142 (5) ◽  
pp. 04016003 ◽  
Author(s):  
Carlos R. Wyss ◽  
Dieter Rickenmann ◽  
Bruno Fritschi ◽  
Jens M. Turowski ◽  
Volker Weitbrecht ◽  
...  

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