PIV-PLIF Characterization of Nonconfined Saline Density Currents under Different Flow Conditions

Pérez-Díaz, Beatriz; Palomar, P.; Castanedo, Sonia; Álvarez, A.

doi:10.1061/(asce)hy.1943-7900.0001511

Cited by 18 publications

(6 citation statements)

References 73 publications

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“…Typical profiles of shear layers are obtained: the streamwise velocity shows an error function-like distribution linking the top and bottom borders of the mixing layer, and the TKE presents a Gaussian-like distribution peaking at the mixing layer's centre, where shearing is at a maximum (Townsend 1980;Vreman, Geurts & Kuerten 1997;Balaras, Piomelli & Wallace 2001;Yang et al 2004;Krug et al 2013). In particular, the profiles obtained forx f −x > 3.4H compare well with experimental and numerical data reported in the body of lock-exchange currents (Garcia 1994;Gray, Alexander & Leeder 2006;Cantero, Balachandar & Parker 2009;Eggenhuisen & McCaffrey 2012) and unconfined currents (Pérez-Díaz et al 2018b;Wilson, Friedrich & Stevens 2018a). The velocity gradient remains constant across the mixing layer, except inside the head where it grows towards the centre of the mixing region.…”

Section: Reynolds Stress U Vsupporting

confidence: 79%

Statistical characterisation of turbulence for an unsteady gravity current

2020

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Section: Reynolds Stress U Vsupporting

confidence: 79%

Statistical characterisation of turbulence for an unsteady gravity current

2020

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“…Release of a dense fluid into a lighter ambient fluid from a non-continues source (e.g., the lock-exchange technique) or a continuous source (e.g., a dense jet) has been studied in several experimental investigations [6][7][8][9][10][11][12][13][14][15][16][17][18] . Experimental investigations also assessed the interactions between turbidity currents of different densities and velocities with an obstacle of varying geometrical features including height and width 19-27 .…”

Section: Turbidity Currents Are Frequently Observed In Natural and Mamentioning

confidence: 99%

Large eddy simulation of turbidity currents in a narrow channel with different obstacle configurations

Goodarzi

Lari

Khavasi

et al. 2020

Sci Rep

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Turbidity currents are frequently observed in natural and man-made environments, with the potential of adversely impacting the performance and functionality of hydraulic structures through sedimentation and reduction in storage capacity and an increased erosion. Construction of obstacles upstream of hydraulic structures is a common method of tackling adverse effects of turbidity currents. This paper numerically investigates the impacts of obstacle’s height and geometrical shape on the settling of sediments and hydrodynamics of turbidity currents in a narrow channel. A robust numerical model based on LES method was developed and successfully validated against physical modelling measurements. This study modelled the effects of discretization of particles size distribution on sediment deposition and propagation in the channel. Two obstacles geometry including rectangle and triangle were studied with varying heights of 0.06, 0.10 and 0.15 m. The results show that increasing the obstacle height will reduce the magnitude of dense current velocity and sediment transport in narrow channels. It was also observed that the rectangular obstacles have more pronounced effects on obstructing the flow of turbidity current, leading to an increase in the sediment deposition and mitigating the impacts of turbidity currents.

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“…One camera took the image at time t and the other camera at t + ∆t. The velocity composition was carried out by an inter-correlation algorithm [42], which divides the two successive images of the recorded particles at time t and t + ∆t into small interrogation areas. The position of the correlation peak between the two images corresponds to the most probable displacement of the particles for each of these interrogation areas [42].…”

Section: Setup Of the Physical Modellingmentioning

confidence: 99%

“…The velocity composition was carried out by an inter-correlation algorithm [42], which divides the two successive images of the recorded particles at time t and t + ∆t into small interrogation areas. The position of the correlation peak between the two images corresponds to the most probable displacement of the particles for each of these interrogation areas [42]. The effects of geometric distortion, resulting from small angles in camera alignment, were automatically corrected during image processing and post-processing using LaVision DaVis software.…”

Section: Setup Of the Physical Modellingmentioning

confidence: 99%

Zonation of Positively Buoyant Jets Interacting with the Water-Free Surface Quantified by Physical and Numerical Modelling

García-Alba

Bárcena

Garcı́a

2020

Water

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The evolution of positively buoyant jets was studied with non-intrusive techniques—Particle Image Velocimetry (PIV) and Laser Induce Fluorescence (LIF)—by analyzing four physical tests in their four characteristic zones: momentum dominant zone (jet-like), momentum to buoyancy transition zone (jet to plume), buoyancy dominant zone (plume-like), and lateral dispersion dominant zone. Four configurations were tested modifying the momentum and the buoyancy of the effluent through variations of flow discharge and the thermal gradient with the receiving water body, respectively. The physical model results were used to evaluate the performance of numerical models to describe such flows. Furthermore, a new method to delimitate the four characteristic zones of positively buoyant jets interacting with the water-free surface was proposed using the angle (α) shaped by the tangent of the centerline trajectory and the longitudinal axis. Physical model results showed that the dispersion of mass (concentrations) was always greater than the dispersion of energy (velocity) during the evolution of positively buoyant jets. The semiempirical models (CORJET and VISJET) underestimated the trajectory and overestimated the dilution of positively buoyant jets close to the impact zone with the water-free surface. The computational fluid dynamics (CFD) model (Open Field Operation And Manipulation model (OpenFOAM)) is able to reproduce the behavior of positively buoyant jets for all the proposed zones according to the physical results.

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PIV-PLIF Characterization of Nonconfined Saline Density Currents under Different Flow Conditions

Cited by 18 publications

References 73 publications

Statistical characterisation of turbulence for an unsteady gravity current

Statistical characterisation of turbulence for an unsteady gravity current

Large eddy simulation of turbidity currents in a narrow channel with different obstacle configurations

Zonation of Positively Buoyant Jets Interacting with the Water-Free Surface Quantified by Physical and Numerical Modelling

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