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The numerical simulation technique Smooth Particle Hydrodynamics
(SPH) was used to set up a 3D numerical wave tank model. SPH does not
need a mesh or grid to discretize the physical domain to calculate the
spatial derivatives of the fluid dynamical laws (Dalrymple and Rogers,
2006; Monaghan, 1992). In any SPH model, the physical domain is
discretized by a finite number of numerical particles that interact with
each other following the fluid conservation laws (Monaghan, 1992).
• Model configuration We generated a 3D numerical wave tank model
using the SPH method to investigate the fluid flow conditions
occurring at the direct vicinity and in the interior of bedforms. Please
note that in this study, terms such as “bedforms", “grains",
“sediment” or “inflow” are used, even though we recognize that the
context is related to a numerical rather than a natural one. The same
applies to the used SI units, which are clearly dimensionless and are,
therefore, given in square brackets, respectively. All presented data
were processed using programmed routines in Paraview 4.1 and
Matlab 2013 environments.
• Measurements and data statistics During the entire simulation, the
flow velocities and directions above and in the interior of the
bedform were monitored as a function of wave activity and extracted
at each model iteration step t = 0.01 [s]. This approach allowed a
three-dimensional high-resolution analysis of the flow conditions in
the water column as well as a measurement of potential flow
variations in the direct vicinity and in the interior of the bedforms.

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research paper on bed slop.pptx

  • 1. The numerical simulation technique Smooth Particle Hydrodynamics (SPH) was used to set up a 3D numerical wave tank model. SPH does not need a mesh or grid to discretize the physical domain to calculate the spatial derivatives of the fluid dynamical laws (Dalrymple and Rogers, 2006; Monaghan, 1992). In any SPH model, the physical domain is discretized by a finite number of numerical particles that interact with each other following the fluid conservation laws (Monaghan, 1992).
  • 2. • Model configuration We generated a 3D numerical wave tank model using the SPH method to investigate the fluid flow conditions occurring at the direct vicinity and in the interior of bedforms. Please note that in this study, terms such as “bedforms", “grains", “sediment” or “inflow” are used, even though we recognize that the context is related to a numerical rather than a natural one. The same applies to the used SI units, which are clearly dimensionless and are, therefore, given in square brackets, respectively. All presented data were processed using programmed routines in Paraview 4.1 and Matlab 2013 environments.
  • 3. • Measurements and data statistics During the entire simulation, the flow velocities and directions above and in the interior of the bedform were monitored as a function of wave activity and extracted at each model iteration step t = 0.01 [s]. This approach allowed a three-dimensional high-resolution analysis of the flow conditions in the water column as well as a measurement of potential flow variations in the direct vicinity and in the interior of the bedforms.