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Tidal Simulation For Grand Passage

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Applications

  • General Environmental Flows
  • Planetary Boundary Layer Studies (air & water)
  • Impact of turbulent flow on devices
  • Impact of terrain on generation of turbulence

Capabilities covered in this demonstration

  • Detached Eddy Simulation (DES)
  • Rough Wall Models
  • Immersed Boundary
  • Monitor Point Specification
  • Synthetic Eddy Generation at Inlets

Description & Performance Data

A Detached Eddy Simulation of incompressible, isothermal water flow through a tidal channel in Nova Scotia, Canada. This study concentrates on a the maximum mid-tide flow rate and the results characterize turbulence generated by the environment at a planned hydrokinetic turbine installation site.

Mesh Topology:

Multi-block structured

Data Type:

Structured

No. Control Volumes:

1 million

Precision:

Double in all mesh regions

GPU Type:

Nvidia K80 

No. GPU Devices:

GPU memory usage:

~100% 

CPU Type:

Intel i7-4930K

No. CPU Devices:

4

Notes

Inlet velocity profiles are interpolated form a coarse 3D FVCOM tide model and are supplied with synthetic turbulence -- conservative perturbations with a statistical distribution similar to fully-developed boundary layer turbulence. Synthetic turbulence is not fully-developed turbulence per se, but it hastens generation of the resolved-scale energy cascade within the simulation domain. The seafloor boundary is generated by resampling high-resolution multibeam sonar data collected by third-parties at the site. In the central region of the channel the mesh fully resolves the water column and contours the seafloor closely. Very near the shorelines and within intertidal regions, the immersed-boundary model is active. The immersed boundary toggles mesh elements alternately as part of the flow, or as part of the solid shoreline. This provides a means of switching quickly between flood and ebb tide scenarios without re-meshing the entire channel. The sea surface is a symmetry plane and its height is set equal to the surface height in the FVCOM results. A series of monitor points in the narrowest part of the channel measures the instantaneous velocity and writes results to an SQL database which is later used for validation against experimental acoustic doppler data gathered on site.

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EXN/View: Mesh, Physics and Solver Settings

This is a navigable instance of the actual EXN/Aero user interface, showing the mesh at right and the solver control tree at left. Expand nodes in the tree to see an how we set up the physics models and solver parameters. The demonstration case shown here can be reconstructed on any terminal where EXN/Aero is installed, using the files found below.

Data Files

grandPassageFlood.cgns
Solver_Control.xml
Variables.xml
Database.xml
BC_Families.xml
Cell_Families.xml
cvc.log
Beam_090deg_20ang.txt
Beam_150deg_20ang.txt
Beam_240deg_20ang.txt
Beam_120deg_20ang.txt
Beam_300deg_20ang.txt
Beam_060deg_20ang.txt
shoreDB_west.txt
Beam_Center.txt
Beam_210deg_20ang.txt
shoreDB_east.txt
GP_Berth_A_monitor_points_ori.txt
Beam_030deg_20ang.txt
Beam_270deg_20ang.txt
Beam_180deg_20ang.txt
Beam_000deg_20ang.txt
shoreDB_island.txt
Beam_330deg_20ang.txt
GP_FVCOM_South_boundary_from_paraview_flowstress.txt

Tutorial

Tutorial sessions can be found at: http://envenio.ca/wiki/

Results

Velocity (left) and turbulence viscosity (right) results are shown for a depth of 10m mid-solution.

Keywords

  • LES
  • DES
  • Synthetic Turbulence
  • Prescribed Inlet
  • Immersed Boundary
  • Environmental Flow

Smagorinsky Paper: http://fvcom.smast.umassd.edu/fvcom/

Attachments (5)

Download all attachments as: .zip

2017-09-1

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