FUN3D Analysis of DPW-IV Common Research Model...1 FUN3D Analysis of DPW-IV Common Research Model...
Transcript of FUN3D Analysis of DPW-IV Common Research Model...1 FUN3D Analysis of DPW-IV Common Research Model...
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1 http://fun3d.larc.nasa.gov DPW IV June 20-21, 2009
FUN3D Analysis of DPW-IV Common Research Model
Elizabeth M. Lee-Rausch, Christopher L. Rumsey, Dana P. Hammond & Eric J. Nielsen
NASA Langley Research Center
4th AIAA CFD Drag Prediction WorkshopSponsored by the Applied Aerodynamics TC
San Antonio, Texas June 20-21, 2009
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2 http://fun3d.larc.nasa.gov DPW IV June 20-21, 2009
FUN3D Core Capabilities
• Solves 2D/3D steady and unsteady Euler and RANS equations on node-based mixed element grids for compressible and incompressible flows
• Used for numerous projects internal and external to NASA across the speed range
• General dynamic mesh capability: any combination of rigid/overset/morphing grids, including 6-DOF effects
• Aeroelastic modeling w/ mode shapes, full FEM, CC, etc • Adjoint-based design optimization and mesh adaptation • Linear scaling through 1000’s of cores • Capabilities fully integrated, large support team,
online documentation, tutorials, etc
Propulsion Effects Supersonics
Morphing Vehicles
Rotorcraft
Incompressible Flows Reacting Flows
Ares
US Army
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FUN3D Unstructured Grid Code
• Full Navier-Stokes equations-node centered • Parallel 3D compressible finite-volume RANS for mixed-element
meshes • Implicit time-stepping using multi-color point Gauss-Seidel
relaxation for linear system • UMUSCL 0.5 scheme (CD + Roe) for inviscid fluxes with
Venkatakrishnan limiter • Combined Green-Gauss and edge-based gradients for viscous
fluxes • Spalart-Allmaras turbulence model (loosely coupled)
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4 http://fun3d.larc.nasa.gov DPW IV June 20-21, 2009
FUN3D Unstructured Grid Code
• Parallel version - MPI – Old paradigm (multiple steps)
* Sequential pre-processor using MeTiS domain decomposition or parallel pre-processor using ParMetis
* Parallel flow solver (reads partition files) * Sequential post-processing for visualization
– New paradigm (one step) * Solver loads grid file directly
in parallel and performs domain decomposition using ParMetis
* Global grid image not in-core at any time
* Parallel co-processing for animation, slicing, etc
* LaRC internal version
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5 http://fun3d.larc.nasa.gov DPW IV June 20-21, 2009
Summary of FUN3D Results • Case 1 :
– Grid Convergence study at Mach = 0.85, CL = 0.500 +0.001 • Tail Incidence angle, iH = 0o
• Coarse, Medium, Fine, and Extra-Fine Grids • Chord Reynolds Number Rec=5x106, fully turbulent
– Downwash Study at Mach = 0.85 • Drag Polars for alpha = 0.0o, 1.0o, 1.5o, 2.0o, 2.5o, 3.0o, and 4.0o
• Tail Incidence angles iH = -2o, 0o, +2o, and Tail off • Medium grid • Chord Reynolds Number Rec=5x106, fully turbulent • Trimmed Drag Polar (CG at reference center) derived from
polars at iH = -2o, 0o, +2o • Delta Drag Polar of tail off vs. tail on (i.e. WB vs. WBH trimmed)
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6 http://fun3d.larc.nasa.gov DPW IV June 20-21, 2009
Computational Grids - CRM • Mixed-element versions of the workshop unstructured node-
based LaRC grids • Advancing layer tetrahedra are merged into prisms/pyramids
Original Grid Merged Grid
Nodes Cells Tet.
Nodes Cells Tet.
Cells Prism
Cells Total
Coarse 3.7M 21.6M 3.7M 3.8M 5.9M 9.8M
Medium 10.2M 60.3M 10.3M 14.8M 15.2M 30.1M
Fine 36.0M 212.2M 36.0M 76.5M 45.2M 121.9M
Extra-Fine
105.6M 623M 105.7M 289.6M 111.1M 401.0M
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Residual Convergence Medium Grid for CL=0.5 • During the convergence history, relaxation in alpha based on error in total lift (method from CFL3D as coded by Steve Allmaras)
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Residual Convergence Fine Grid for CL=0.5 • During the convergence history, relaxation in alpha based on error in total lift (method from CFL3D as coded by Steve Allmaras)
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Residual Conv. Extra-Fine Grid for CL=0.5 • From raw grid to solver iterations in ~20 minutes using fully parallel paradigm on 1024 distributed memory processors • Output slices, surface flows, etc generated simultaneously • Old paradigm: pre-processing grid would take 10-15 days and ~180GB on Columbia-class shared-memory machine
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Grid Convergence of CRM Forces/Moment
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Fine Grid Pressure Contours
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Grid Convergence of CRM Wing Pressures
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Grid Convergence of CRM Wing Pressures
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Grid Convergence of CRM Tail Pressures
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15 http://fun3d.larc.nasa.gov DPW IV June 20-21, 2009
Fine Grid SOB & Trailing-Edge Separation
Cf wing = cfx*cos(Λc/4) + cfy*sin(Λc/4)
_________
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Grid Convergence of SOB Separation
Coarse Medium
Fine Extra-Fine
BL_SOB=10.4% semi-span
BL_Bubble=10.9% BL_Bubble=11.4%
BL_Bubble=11.8% BL_Bubble=12.1%
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17 http://fun3d.larc.nasa.gov DPW IV June 20-21, 2009
CRM Downwash Study • Mach 0.85 • Rec = 5 X 106
• Spalart-Allmaras • Fully Turbulent • Medium Grids
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18 http://fun3d.larc.nasa.gov DPW IV June 20-21, 2009
CRM Downwash Study
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19 http://fun3d.larc.nasa.gov DPW IV June 20-21, 2009
Summary • Grid convergence study
¯ Good residual convergence on 4 grid (up to 105 million nodes) with CL driver active
¯ Linear variation in total drag on finest 3 grids ( delta CD = 6 counts)
¯ Small variations in wing/tail Cp with grid refinement ¯ 1-2% chord wing TE separation (mid-span) ¯ Small wing SOB separation ¯ No tail SOB/TE separation
• Downwash study(medium grid) ¯ Delta drag 27 counts at CL = 0.5
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20 http://fun3d.larc.nasa.gov DPW IV June 20-21, 2009
Acknowledgements
• Dr. Robert Biedron, NASA LaRC • Mark Chaffin, Cessna/Dr. Shahyar
Pirzadeh, NASA LaRC