The effect of lateral channel contraction on dam break flows: Laboratory experiment

Kocaman, Selahattin; Özmen-Çağatay, Hatice

doi:10.1016/j.jhydrol.2012.02.035

Cited by 62 publications

(31 citation statements)

References 23 publications

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“…The cameras are JVC c920e with acquisition rate 25 frames per second and resolution 752x586 pixels. A complete description of the experimental setup and measurement techniques can also be seen in Ozmen-Cagatay and Kocaman [9][10][11][12][13][14][15][16][17][18].…”

Section: Fig1: Test Setup and Dam-break Mechanism [18]mentioning

confidence: 99%

“…Due to recent developments in computer power, it is possible to widely use numerical methods based on Computational Fluid Dynamics (CFD). Some researchers used SWE and Reynolds Averaged Navier-Stokes (RANS) equations to investigate dam-break flow in 2D and 3D [9,10]. Smoothed Particle Hydrodynamics (SPH) method is one of the most commonly used numerical methods in Hydraulics.…”

Section: Introductionmentioning

confidence: 99%

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Validation of Dam-Break Problem over Dry Bed using SPH

Dal¹,

Evangelista²,

Yılmaz³

et al. 2017

IJAERS

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Section: Fig1: Test Setup and Dam-break Mechanism [18]mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Validation of Dam-Break Problem over Dry Bed using SPH

Dal¹,

Evangelista²,

Yılmaz³

et al. 2017

IJAERS

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“…In order to calibrate each camera, 25 selected pictures of the board were processed by the software "Camera Calibration Toolbox for Matlab" (Jean-Yves Bouguet, California Institute of Technology, Pasadena, Canada) To correct the distortions, the spatial calibration parameters were estimated by matching the predetermined coordinates of the board corners on pictures obtained by different viewpoints of the board. The details of the raw images of the channel, including the barrel distortion and a calibrated image, can be found in Kocaman and Ozmen-Cagatay [21,42], together with a better description of the image processing for reconstruction of the water surface edge, also in the regions with significant air entrainment. After the calibration process, the images corresponding to the same time obtained from adjacent synchronous cameras were automatically merged to provide a complete view of the free-surface profile based on predetermined stitching coordinates on the images.…”

Section: Introductionmentioning

confidence: 99%

Experimental and Numerical Analysis of a Dam-Break Flow through Different Contraction Geometries of the Channel

Kocaman

Güzel

Evangelista

et al. 2020

Water

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Dam-break wave propagation usually occurs over irregular topography, due for example to natural contraction-expansion of the river bed and to the presence of natural or artificial obstacles. Due to limited available dam-break real-case data, laboratory and numerical modeling studies are significant for understanding this type of complex flow problems. To contribute to the related field, a dam-break flow over a channel with a contracting reach was investigated experimentally and numerically. Laboratory tests were carried out in a smooth rectangular channel with a horizontal dry bed for three different lateral contraction geometries. A non-intrusive digital imaging technique was utilized to analyze the dam-break wave propagation. Free surface profiles and time variation of water levels in selected sections were obtained directly from three synchronized CCD video camera records through a virtual wave probe. The experimental results were compared against the numerical solution of VOF (Volume of Fluid)-based Shallow Water Equations (SWEs) and Reynolds-Averaged Navier-Stokes (RANS) equations with the k-ε turbulence model. Good agreements were obtained between computed and measured results. However, the RANS solution shows a better correspondence with the experimental results compared with the SWEs one. The presented new experimental data can be used to validate numerical models for the simulation of dam-break flows over irregular topography.Water 2020, 12, 1124 2 of 22 to limited available dam-break real-case data [5,6], laboratory and numerical modeling studies are significant for understanding this type of complex flow problems [7][8][9].The analysis of the literature shows several laboratory experiments aimed at investigating the propagation of a dam-break flow over irregular flumes [2,3,[10][11][12][13][14][15][16]. The galloping progresses in the evolution of the imaging technology have led to a wiser use of the digital image processing in laboratory experimental measurements of dam-break flows [17][18][19][20], with significant contribution to better understand the physics of real processes [21,22].Investigation of dam-break flows over complex topography can be performed through numerical analysis and validated through the comparison of numerical solutions obtained with different methods against experimental data [23][24][25][26][27][28]. Most of previous works simulated the dam-break flow through the Shallow Water Equations (SWEs) [2,[29][30][31][32]. The complete 3D Reynolds-Averaged Navier-Stokes (RANS) equations involving the turbulence modeling can more accurately describe the dam-break wave propagation over complex topography [27,28,33,34]. Recently, 3D VOF (Volume of Fluid) based CFD (Computational Fluid Dynamics) modeling software, such as FLOW-3D (Flow-Science Co, New Mexico, NM, USA) have been widely applied to the simulation of unsteady free-surface flows and also tested on dam-break flows [35][36][37][38][39][40].The present research focuses on the dam-break flood wave propagation over the downstream ...

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“…Aurelli et al [11] compared the SWE based numerical solution of dam-break flow over the bottom obstacle with experimental data. Some researchers used a numerical model based on Finite Volume Model (FVM) to investigate the effect of lateral channel contraction on dam-break flow [12][13]. Ozmen-Cagatay et al [14] used numerical models based on SWE and RANS equations to validate their own experimental data of the dam-break flow in a channel with a symmetrical triangularshaped bottom obstacle.…”

Section: Introductionmentioning

confidence: 99%