Comparative study on the accuracy of solitary wave generations in an ISPH-based numerical wave flume

Farhadi, Asghar; Ershadi, Hamed; Emdad, Homayoun; Rad, Ebrahim Goshtasbi

doi:10.1016/j.apor.2015.11.003

Cited by 24 publications

(8 citation statements)

References 73 publications

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“…Compared with the time-averaged water surface position in an open channel flow, the study of dynamic water surface behaviours would be more challenging. To identify the free surface, the divergence of particle positions can be used to compute Figure 14 Normalized turbulent intensity profiles of (a) streamwise direction; and (b) vertical direction, for flow conditions (1), (2), (5) and (8) the instantaneous water surface elevation at a desired streamwise location (Farhadi, Ershadi, Emdad, & Goshtasbi Rad, 2016;Lee et al, 2008). This divergence in the SPH formulation is defined as:…”

Section: Water Surface Identification and Probability Density Functionmentioning

confidence: 99%

“…To determine which particle belonged to the water surface, a threshold value of 1.4, which gives the highest standard deviation of the water surface, was used in the present study. This value is also within the range 1.2-1.5 used by other SPH researchers (Farhadi et al, 2016;Lee et al, 2008). In this work, the instantaneous water surface elevations at a desired streamwise location x were computed as follows: first several vertical locations were defined below and above the initial water surface level by using a gauge spacing of y = 0.02 mm.…”

Section: Water Surface Identification and Probability Density Functionmentioning

confidence: 99%

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SPHysics simulation of laboratory shallow free surface turbulent flows over a rough bed

Gabreil

Tait

Shao

et al. 2018

Journal of Hydraulic Research

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In this paper, the smoothed particle hydrodynamics method is used to simulate experimental shallow free surface turbulent flows over a rough bed made of regularly packed uniform spheres. The numerical program is based on the open source code SPHysics and significant improvement is made in the turbulence modelling and rough bed treatment within the code. A modified sub-particle-scale eddy viscosity model is proposed to simulate the effect of turbulence transfer mechanisms in the highly-sheared free surface flow, and a drag force term is introduced into the momentum equation as a source term to account for the existence of the bed roughness. To validate the numerical model, a laboratory experiment is carried out to study shallow, turbulent flow behaviour under different flow conditions. The SPH simulations are then compared with the flow velocity, shear stress and turbulent intensity profiles measured via acoustic doppler velocimeters. Several issues with regard to the rough bed hydraulics are investigated, including the study of water surface behaviour and its interaction with the bulk flow.

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Section: Water Surface Identification and Probability Density Functionmentioning

confidence: 99%

Section: Water Surface Identification and Probability Density Functionmentioning

confidence: 99%

SPHysics simulation of laboratory shallow free surface turbulent flows over a rough bed

Gabreil

Tait

Shao

et al. 2018

Journal of Hydraulic Research

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“…This feature is implemented to recognize the free surface particles. Lee et al [2008] and Farhadi et al [2016] suggested that a threshold criterion ranging from 1.2 to 1.5 that can be used to determine which particles belong to the water surface. Most of the free surface particles are accurately detected and some of them could not be detected.…”

Section: Literature Review On Sph Applications In Open Channel Flowsmentioning

confidence: 99%

3D SPH Simulation of Dynamic Water Surface and Its Interaction with Underlying Flow Structure for Turbulent Open Channel Flows Over Rough Beds

Gabreil

Tait

Nichols

et al. 2018

International Journal of Ocean and Coastal Engineering

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In this study, a fully 3D numerical model based on the Smoothed Particle Hydrodynamics (SPH) approach has been developed to simulate turbulent open channel flows over a fixed rough bed. The model focuses on the study of dynamic free surface behavior as well as its interaction with underlying flow structures near the rough bed. The model is improved from the open source code SPHysics ( http://www.sphysics.org ) by adding more advanced turbulence and rough bed treatment schemes. A modified sub-particle-scale (SPS) eddy viscosity model is proposed to reflect the turbulence transfer mechanisms and a modified drag force equation is included into the momentum equations to account for the existence of roughness elements on the bed as well as on the sidewalls. The computed results of various free surface patterns have been compared with the laboratory measurements of the fluctuating water surface elevations in the streamwise and spanwise directions of a rectangular open-channel flow under a range of flow conditions. The comparison has demonstrated that the proposed 3D SPH model can simulate well the complex free surface flows over a fixed rough bed.

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“…Keulegan (1948) and Mei (1983) noticed that solitary wave damped out as it propagates by frictional & viscous effect. Farhadi et al (2016) experimentally developed the study done by Wu et al (2014a) accurately in a laboratory using a piston-type wavemaker. In the present study, the inflow method generates the wave in a numerical wave tank.…”

Section: Introductionmentioning

confidence: 99%

Generation of Stable Linear Waves in Shallow Water in a ‎Numerical Wave Tank

2022

JAFM

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This paper aims to investigate numerically linear stable waves at low wave steepness in shallow water using ANSYS Fluent software. The authors mainly determined how, when, and where a linear wave will reach its stable state in shallow water. The finite volume method is used to solve the Navier-Stokes equations. The inflow velocity method and the Dirichlet boundary condition are used to generate a suitable linear wave. Numerical damping is used at the end of the tank to reduce the reflection of the wave. The accuracy and stability of the waves are judged under wave height variation between the CFD results and the analytical results. The test has been conducted in four different cases (Case 1, Case 2, Case 3, and Case 4). Wave evolution and particle velocity are obtained in the velocity field to understand the wave stability in the numerical wave tank. Numerical data are captured from the free surface to compare the surface profile and wave velocity. The results have revealed that the accuracy, stability, and consistency of the linear waves are in good agreement with the analytical solution. The relative error between the two results is 1.43% for Case 3. This research is a highly relevant source of information in realistic wave generation to design various practical systems such as wave energy converters, offshore marine structures, and many ocean engineering problems.

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Comparative study on the accuracy of solitary wave generations in an ISPH-based numerical wave flume

Cited by 24 publications

References 73 publications

SPHysics simulation of laboratory shallow free surface turbulent flows over a rough bed

SPHysics simulation of laboratory shallow free surface turbulent flows over a rough bed

3D SPH Simulation of Dynamic Water Surface and Its Interaction with Underlying Flow Structure for Turbulent Open Channel Flows Over Rough Beds

Generation of Stable Linear Waves in Shallow Water in a ‎Numerical Wave Tank

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