Estimates of Kinetic Energy Dissipation under Breaking Waves

1996 ◽  
Vol 26 (5) ◽  
pp. 792-807 ◽  
Author(s):  
E.A. Terray ◽  
M.A. Donelan ◽  
Y.C. Agrawal ◽  
W.M. Drennan ◽  
K.K. Kahma ◽  
...  
Keyword(s):  
Energy Dissipation ◽  
Kinetic Energy ◽  
Breaking Waves

scholarly journals Estimation of Kinetic Energy Dissipation from Breaking Waves in the Wave Crest Region

2017 ◽  
Vol 47 (5) ◽  
pp. 1145-1150 ◽  
Author(s):  
J. H. Lee ◽  
J. P. Monty ◽  
J. Elsnab ◽  
A. Toffoli ◽  
A. V. Babanin ◽  
...  
Keyword(s):  
Energy Dissipation ◽  
Kinetic Energy ◽  
Isotropic Turbulence ◽  
Breaking Waves ◽  
Wave Crest ◽  
Shear Stresses ◽  
Surface Shear ◽  
Phase Dependence ◽  
Dissipation Rates ◽  
Velocity Spectra

AbstractWave-induced turbulence due to breaking in the absence of surface shear stresses is investigated experimentally. A high-fidelity particle image velocimetry (PIV) technique is used to measure the turbulence near the water surface, inside the wave crests. The spatial velocity vector fields of the breaking waves acquired from PIV provide accurate vertical velocity profiles near the air–water interface, as well as wavenumber velocity spectra beneath the breaking waves at different depths. These velocity spectra exhibit a Kolmogorov interval at high wavenumbers, indicating the presence of isotropic turbulence and permitting an estimation of energy dissipation rates. The depth dependence of dissipation rates of the breaking waves generated in the laboratory shows a scaling similar to that found in wind-forced breaking waves in the field. A phase dependence in the dissipation rates of turbulence kinetic energy is also observed, which should be considered to improve the accuracy of the estimated and modeled wave energy dissipation.

scholarly journals Correlation between Buoyancy Flux, Dissipation and Potential Vorticity in Rotating Stratified Turbulence

Atmosphere ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 157
Author(s):  
Duane Rosenberg ◽  
Annick Pouquet ◽  
Raffaele Marino
Keyword(s):  
Energy Dissipation ◽  
Kinetic Energy ◽  
Potential Vorticity ◽  
Isotropic Turbulence ◽  
Joint Probability ◽  
Buoyancy Flux ◽  
Turbulent Regime ◽  
Stratified Turbulence ◽  
Low Dissipation ◽  
Linear And Nonlinear

We study in this paper the correlation between the buoyancy flux, the efficiency of energy dissipation and the linear and nonlinear components of potential vorticity, PV, a point-wise invariant of the Boussinesq equations, contrasting the three identified regimes of rotating stratified turbulence, namely wave-dominated, wave–eddy interactions and eddy-dominated. After recalling some of the main novel features of these flows compared to homogeneous isotropic turbulence, we specifically analyze three direct numerical simulations in the absence of forcing and performed on grids of 10243 points, one in each of these physical regimes. We focus in particular on the link between the point-wise buoyancy flux and the amount of kinetic energy dissipation and of linear and nonlinear PV. For flows dominated by waves, we find that the highest joint probability is for minimal kinetic energy dissipation (compared to the buoyancy flux), low dissipation efficiency and low nonlinear PV, whereas for flows dominated by nonlinear eddies, the highest correlation between dissipation and buoyancy flux occurs for weak flux and high localized nonlinear PV. We also show that the nonlinear potential vorticity is strongly correlated with high dissipation efficiency in the turbulent regime, corresponding to intermittent events, as observed in the atmosphere and oceans.

Energy dissipation through wind-generated breaking waves

2012 ◽  
Vol 30 (5) ◽  
pp. 822-825 ◽  
Author(s):  
Shuwen Zhang ◽  
Ruixue Cao ◽  
Lingling Xie
Keyword(s):  
Energy Dissipation ◽  
Breaking Waves

Evaluation of Turbulent Kinetic Energy Dissipation Rate in a Free Jet Flow from PIV Measurements

2012 ◽  
Vol 7 (1) ◽  
pp. 53-69
Author(s):  
Vladimir Dulin ◽  
Yuriy Kozorezov ◽  
Dmitriy Markovich
Keyword(s):  
Energy Dissipation ◽  
Kinetic Energy ◽  
Turbulent Kinetic Energy ◽  
Dissipation Rate ◽  
Energy Dissipation Rate ◽  
Turbulent Velocity ◽  
Small Scale ◽  
Velocity Fluctuations ◽  
Piv Measurements ◽  
Free Jet

The present paper reports PIV (Particle Image Velocimetry) measurements of turbulent velocity fluctuations statistics in development region of an axisymmetric free jet (Re = 28 000). To minimize measurement uncertainty, adaptive calibration, image processing and data post-processing algorithms were utilized. On the basis of theoretical analysis and direct measurements, the paper discusses effect of PIV spatial resolution on measured statistical characteristics of turbulent fluctuations. Underestimation of the second-order moments of velocity derivatives and of the turbulent kinetic energy dissipation rate due to a finite size of PIV interrogation area and finite thickness of laser sheet was analyzed from model spectra of turbulent velocity fluctuations. The results are in a good agreement with the measured experimental data. The paper also describes performance of possible ways to account for unresolved small-scale velocity fluctuations in PIV measurements of the dissipation rate. In particular, a turbulent viscosity model can be efficiently used to account for the unresolved pulsations in a free turbulent flow

Modeling the kinetic energy dissipation of road system considering actual weather conditions

2019 ◽  
Vol 33 (07) ◽  
pp. 1950073
Author(s):  
Lei Huang ◽  
De-Yong Guan ◽  
Xin-Hong Qiang
Keyword(s):  
Energy Consumption ◽  
Friction Coefficient ◽  
Energy Dissipation ◽  
Kinetic Energy ◽  
Traffic Management ◽  
Weather Conditions ◽  
Flow Speed ◽  
Flow Density ◽  
Cellular Automata Model ◽  
Density Flow

Traffic flow dynamics and energy consumption differs under dissimilar weather conditions, while seldom investigations have been conducted with a cellular automata model. In this paper, the friction coefficient between ground and tire is considered as the quantitative label of weather, a dynamic safe gap based on friction coefficient to avoid rear-end crash is introduced. We developed a safer one-dimensional model to examine the kinetic energy consumption under different weathers. Numerical results show that previous models overestimated the kinetic energy consumption in medium density flow (density [Formula: see text]0.5). In medium flow, speed limit will not reduce energy consumption on rainy and snowy days in most cases, but is necessary for prevention of accidents. Inversely, the effect of speed control on energy consumption is obvious under extreme weather. Our work can promote a better understanding of traffic dynamics, reduce energy dissipation and be applied to real traffic management.

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