Computational Challenges (MC1) High-Lift Common Research Model

Slides:



Advertisements
Similar presentations
School of something FACULTY OF OTHER School of Computing An Adaptive Numerical Method for Multi- Scale Problems Arising in Phase-field Modelling Peter.
Advertisements

Outline Overview of Pipe Flow CFD Process ANSYS Workbench
CFD II w/Dr. Farouk By: Travis Peyton7/18/2015 Modifications to the SIMPLE Method for Non-Orthogonal, Non-Staggered Grids in k- E Turbulence Flow Model.
A Discrete Adjoint-Based Approach for Optimization Problems on 3D Unstructured Meshes Dimitri J. Mavriplis Department of Mechanical Engineering University.
Computation Fluid Dynamics & Modern Computers: Tacoma Narrows Bridge Case Study Farzin Shakib ACUSIM Software, Inc SGI Technical Users ’ Conference.
Andreas Krumbein > 30 January 2007 MIRACLE Final Meeting, ONERA Châtillon, Folie 1 Navier-Stokes High-Lift Airfoil Computations with Automatic Transition.
The analysis of the two dimensional subsonic flow over a NACA 0012 airfoil using OpenFoam is presented. 1) Create the geometry and the flap Sequence of.
Nonlinear Model Reduction for Flexible Aircraft Control Design A. Da Ronch, K. J. Badcock University of Liverpool, Liverpool, U.K. Y. Wang, A. Wynn, and.
Results from the 3 rd Drag Prediction Workshop using the NSU3D Unstructured Mesh Solver Dimitri J. Mavriplis University of Wyoming.
1 Multi-point Wing Planform Optimization via Control Theory Kasidit Leoviriyakit and Antony Jameson Department of Aeronautics and Astronautics Stanford.
Steady Aeroelastic Computations to Predict the Flying Shape of Sails Sriram Antony Jameson Dept. of Aeronautics and Astronautics Stanford University First.
Parallel Mesh Refinement with Optimal Load Balancing Jean-Francois Remacle, Joseph E. Flaherty and Mark. S. Shephard Scientific Computation Research Center.
Network and Grid Computing –Modeling, Algorithms, and Software Mo Mu Joint work with Xiao Hong Zhu, Falcon Siu.
1 Effects of Inflow Forcing on Jet Noise Using Large Eddy Simulation P. Lew, A. Uzun, G. A. Blaisdell & A. S. Lyrintzis School of Aeronautics & Astronautics.
© 2011 Autodesk Freely licensed for use by educational institutions. Reuse and changes require a note indicating that content has been modified from the.
1 CFD Analysis Process. 2 1.Formulate the Flow Problem 2.Model the Geometry 3.Model the Flow (Computational) Domain 4.Generate the Grid 5.Specify the.
Partially Resolved Numerical Simulation CRTI RD Project Review Meeting Canadian Meteorological Centre August 22-23, 2006.
Computational Modelling of Unsteady Rotor Effects Duncan McNae – PhD candidate Professor J Michael R Graham.
Model Reduction for Linear and Nonlinear Gust Loads Analysis A. Da Ronch, N.D. Tantaroudas, S.Timme and K.J. Badcock University of Liverpool, U.K. AIAA.
Cornell University, September 17,2002 Ithaca New York, USA The Development of Unstructured Grid Methods For Computational Aerodynamics Dimitri J. Mavriplis.
Comparison of Numerical Predictions and Wind Tunnel Results for a Pitching Uninhabited Combat Air Vehicle Russell M. Cummings, Scott A. Morton, and Stefan.
AIAA th AIAA/ISSMO Symposium on MAO, 09/05/2002, Atlanta, GA 0 AIAA OBSERVATIONS ON CFD SIMULATION UNCERTAINITIES Serhat Hosder,
Computational Aerodynamics Using Unstructured Meshes
2D unsteady computations for COSDYNA > Tony Gardner > Folie 1 2D unsteady computations with deformation and adaptation for COSDYNA Tony Gardner.
Grid Quality and Resolution Issues from the Drag Prediction Workshop Series The DPW Committee Dimitri Mavriplis : University of Wyoming USA J. Vassberg,
CENTRAL AEROHYDRODYNAMIC INSTITUTE named after Prof. N.E. Zhukovsky (TsAGI) Multigrid accelerated numerical methods based on implicit scheme for moving.
UMRIDA Kick-Off Meeting Brussels, october Partner 11 : INRIA.
ParCFD Parallel computation of pollutant dispersion in industrial sites Julien Montagnier Marc Buffat David Guibert.
High-Order Spatial and Temporal Methods for Simulation and Sensitivity Analysis of High-Speed Flows PI Dimitri J. Mavriplis University of Wyoming Co-PI.
CFD Lab - Department of Engineering - University of Liverpool Ken Badcock & Mark Woodgate Department of Engineering University of Liverpool Liverpool L69.
MSc Thesis presentation – Thijs Bosma – December 4th 2013
CFD Refinement By: Brian Cowley. Overview 1.Background on CFD 2.How it works 3.CFD research group on campus for which problem exists o Our current techniques.
Grid Resolution Study of a Drag Prediction Workshop Configuration using the NSU3D Unstructured Mesh Solver Dimitri J. Mavriplis Department of Mechanical.
Target Functional-based Adaptation > Daniel Vollmer > Folie 1 Target Functional-based Adaptation Daniel Vollmer TAU Grid Adaptation Workshop.
A RANS Based Prediction Method of Ship Roll Damping Moment Kumar Bappaditya Salui Supervisors of study: Professor Dracos Vassalos and Dr. Vladimir Shigunov.
Hyatt Regency, San Francisco, California > 06-June-06 Slide 1 > 24 th Applied Aerodynamics Conference > A. Krumbein Automatic Transition Prediction and.
Remarks on the TAU grid adaptation Thomas Gerhold.
Partitioning using Mesh Adjacencies  Graph-based dynamic balancing Parallel construction and balancing of standard partition graph with small cuts takes.
Recent developments in the CEASIOM framework using the common language CPACS Good afternoon, my name is Marco Cristofaro and the work that I will present.
FALL 2015 Esra Sorgüven Öner
Multi-Physics Adjoints and Solution Verification
Presented by Adaptive Hybrid Mesh Refinement for Multiphysics Applications Ahmed Khamayseh and Valmor de Almeida Computer Science and Mathematics Division.
CFD Study of the Development of Vortices on a Ring Wing
DLR Institute of Aerodynamics and Flow Technology 1 Simulation of Missiles with Grid Fins using an Unstructured Navier-Stokes solver coupled to a Semi-Experimental.
AIAA th AIAA/ISSMO Symposium on MAO, 09/05/2002, Atlanta, GA 0 AIAA OBSERVATIONS ON CFD SIMULATION UNCERTAINTIES Serhat Hosder, Bernard.
Code verification and mesh uncertainty The goal is to verify that a computer code produces the right solution to the mathematical model underlying it.
Convergence Studies of Turbulent Channel Flows Using a Stabilized Finite Element Method Andrés E. Tejada-Martínez Department of Civil & Environmental Engineering.
Tony Arts Carlo Benocci Patrick Rambaud
By Arseniy Kotov CAL POLY San Luis Obispo, Aerospace Engineering Intern at Applied Modeling & Simulation Branch Mentors: Susan Cliff, Emre Sozer, Jeff.
Mesh Refinement: Aiding Research in Synthetic Jet Actuation By: Brian Cowley.
NON-PROPRIETARY DATA NASA SBIR/STTR Technologies A Mesh Adaptation and Shape Optimization on Unstructured Meshes PI: William M. Eppard CRM SOLUTIONS,
High Performance Computing Seminar II Parallel mesh partitioning with ParMETIS Parallel iterative solvers with Hypre M.Sc. Caroline Mendonça Costa.
Xing Cai University of Oslo
Drag Prediction Using NSU3D (Unstructured Multigrid NS Solver)
DPW-4 Results For NSU3D on LaRC Grids
Convergence in Computational Science
Meros: Software for Block Preconditioning the Navier-Stokes Equations
Adaptive Grid Generation for Magnetically Confined Plasmas
AIRFRAME NOISE MODELING APPROPRIATE FOR MULTIDISCIPLINARY DESIGN AND OPTIMIZATION AIAA Serhat Hosder, Joseph A. Schetz, Bernard Grossman and.
Fluid Flow Regularization of Navier-Stokes Equations
L Ge, L Lee, A. Candel, C Ng, K Ko, SLAC
AIAA OBSERVATIONS ON CFD SIMULATION UNCERTAINITIES
AIAA OBSERVATIONS ON CFD SIMULATION UNCERTAINTIES
Convergence in Numerical Science
Salient application properties Expectations TOPS has of users
AIAA OBSERVATIONS ON CFD SIMULATION UNCERTAINTIES
Accurate Flow Prediction for Store Separation from Internal Bay M
Accurate Flow Prediction for Store Separation from Internal Bay M
Ph.D. Thesis Numerical Solution of PDEs and Their Object-oriented Parallel Implementations Xing Cai October 26, 1998.
Presentation transcript:

Computational Challenges (MC1) High-Lift Common Research Model 5th International Workshop on High-Order CFD Methods (HiOCFD5) January 6th-7th 2018, Kissimmee, FL Behzad R. Ahrabi High-Altitude CFD Lab. University of Wyoming

HiOCFD5 Computational Challenges High-Lift Common Research Model Configuration A wide-body commercial aircraft with a classical three element high-lift system at the wing leading and trailing edge in a landing setting. Deigned jointly by NASA and Boeing to serve as a test case for high-lift simulations. Previous works on this particular configuration 3rd High Lift Prediction Workshop (HLPW3, case 1a) 1st Geometry and Mesh Generation Workshop Full chord flap gap HiOCFD5 Computational Challenges Behzad R Ahrabi (UW) January 7, 2018 1

HiOCFD5 Computational Challenges High-Lift Common Research Model Flow Conditions (HiLPW3, case 1a) Mach = 0.2 Reynolds = 3.26 million Alpha = 8o and 16o Available data from HLPW3: Comparison of grid convergence trends for various discretizations, grid, and turbulence models Comparison of grid convergence trends between pre-defined grid families (global refinement) and adapted grids No exp. data for HL-CRM configuration (Case 1) Focus of this workshop Overlay of the new force results on HLPW3 data Discussion of high performance computing (HPC) aspects Discussion of nonlinear and linear convergence HiOCFD5 Computational Challenges Behzad R Ahrabi (UW) January 7, 2018 2

HiOCFD5 Computational Challenges History Previous high-order workshops: HiOCFD3 (3rd International Workshop on High-Order CFD Methods) No high-lift case CRM wing/body configuration was put in the “difficult” category. In HiOCFD5, P2 machine converged solutions (in ~100 nonlinear steps) was presented for CRM wing/body. (due to availability of better girds, more refined nonlinear convergence controllers, etc.) HiOCFD4 First appearance of a high-lift case (DLR F11, Taken from HiLPW2) Considered as a “computationally challenging” case Curved meshes were generated DG (3rd order) and FD (5th order) solutions were presented DLR showed machine convergence residuals and P-Continuation Conclusions: Feasibility of high-order CFD for DLR-F11 configuration was demonstrated. High-lift case still remains as a challenging task. HiOCFD5 Computational Challenges Behzad R Ahrabi (UW) January 7, 2018 3

High-Lift Common Research Model Grids Steve Karman, Pointwise With wake resolution (new to HiOCFD5) Without wake resolution (previous used in HLPW3) wake (tet), coarse wake-less (tet), coarse HiOCFD5 Computational Challenges Behzad R Ahrabi (UW) January 7, 2018 4

High-Lift Common Research Model Grids Steve Karman, Pointwise With wake resolution (new to HiOCFD5) Without wake resolution (previous used in HLPW3) HOMA solutions wake (tet), coarse wake-less (tet), coarse White strips show the end of the domain (larger domains are required). HiOCFD5 Computational Challenges Behzad R Ahrabi (UW) January 7, 2018 5

HiOCFD5 Computational Challenges High-Lift Common Research Model Grids studied HiOCFD5 Computational Challenges Behzad R Ahrabi (UW) January 7, 2018 6

HiOCFD5 Computational Challenges High-Lift Common Research Model Solutions Ryan S. Glasby, Taylor Erwin, University of Tennessee Code: COFFE Utilized discretization: SUPG Color in mesh convergence plots: Red Behzad R. Ahrabi, University of Wyoming Code: HOMA Color in mesh convergence plots: Blue Michael J. Brazell, University of Wyoming Code: DG3D Utilized discretization: DG (SIP) Color in mesh convergence plots: Green Marshall Galbraith, Massachusetts Institute of Technology Code: SANS Utilized discretization: DG Color in mesh convergence plots: Pink HiOCFD5 Computational Challenges Behzad R Ahrabi (UW) January 7, 2018 7

Participant Presentations …

HOMA Results + Summary

Description of Code HOMA Solver (High-Order Multilevel Adaptive Solver) SUPG, RANS, neg-SA, strong and weak implementation of BCs. Fully implicit with exact linearization through automatic diff. Non-Linear Strategies: Pseudo Transient Continuation (PTC) P-multigrid (PMG) solver based on Full Approximation Scheme (FAS) Principal Linear Solver: Flexible GMRes (FGMRes) Built-ins: Local ILU(k) Implicit Line Relaxation (with Double-CFL Strategy) Additive Schwarz (Restrictive) External Packages: PETSc (Used only for comparing with home-developed solvers.) HiOCFD5 Computational Challenges Behzad R Ahrabi (UW) January 7, 2018 8

HiOCFD5 Computational Challenges Description of Code References: Ahrabi, B. R. and Mavriplis D. J., “Scalable Solution Strategies for Stabilized Finite-Element Flow Solvers on Unstructured Meshes”, 55th AIAA Aerospace Sciences Meeting, AIAA Paper 2017-0517, Dallas, TX, January 2017. Ahrabi, B. R. and Mavriplis D. J., “Scalable Solution Strategies for Stabilized Finite-Element Flow Solvers on Unstructured Meshes, Part II”, 23rd AIAA Computational Fluid Dynamics Conference, AIAA AVIATION Forum, AIAA Paper 2017-4275, Denver, CO, June 2017. Ahrabi, B. R., Brazell, M. J., and Mavriplis D. J., “An Investigation of Continuous and Discontinuous Finite-Element Discretizations on Benchmark 3D Turbulent Flows (Invited)”, 2018 AIAA Aerospace Sciences Meeting, Kissimmee, FL, January 2018. HiOCFD5 Computational Challenges Behzad R Ahrabi (UW) January 7, 2018 9

HiOCFD5 Computational Challenges Wake (tet), Coarse 5,735,514 Q1 Nodes Matrix-based lines shown in red HiOCFD5 Computational Challenges Behzad R Ahrabi (UW) January 7, 2018 10

Aerodynamics Forces, Alpha = 8o High-Lift Common Research Model, Case 1a Aerodynamics Forces, Alpha = 8o DG results show a close agreement. SUPG results match on coarse grids (mixed and tets) Low sensitivity to grid SUPG P1 and P2 solutions are close. Difference with HLPW3 results is due to the utilization of different grids. HiOCFD5 Computational Challenges Behzad R Ahrabi (UW) January 7, 2018 11

Aerodynamics Forces, Alpha = 8o High-Lift Common Research Model, Case 1a Aerodynamics Forces, Alpha = 8o DG results show a close agreement. SUPG results match on coarse grids (mixed and tets) Low sensitivity to grid SUPG P1 and P2 solutions are close. Difference with HLPW3 results is due to the utilization of different grids. HiOCFD5 Computational Challenges Behzad R Ahrabi (UW) January 7, 2018 12

Aerodynamics Forces, Alpha = 8o High-Lift Common Research Model, Case 1a Aerodynamics Forces, Alpha = 8o DG results show a close agreement. SUPG results match on coarse grids (mixed and tets) Low sensitivity to grid SUPG P1 and P2 solutions are close. Difference with HLPW3 results is due to the utilization of different grids. HiOCFD5 Computational Challenges Behzad R Ahrabi (UW) January 7, 2018 13

Aerodynamics Forces, Alpha = 16o High-Lift Common Research Model, Case 1a Aerodynamics Forces, Alpha = 16o SUPG P1 and P2 solutions are close. Difference with HLPW3 results is due to the utilization of different grids. HiOCFD5 Computational Challenges Behzad R Ahrabi (UW) January 7, 2018 14

Aerodynamics Forces, Alpha = 16o High-Lift Common Research Model, Case 1a Aerodynamics Forces, Alpha = 16o SUPG P1 and P2 solutions are close. Difference with HLPW3 results is due to the utilization of different grids. HiOCFD5 Computational Challenges Behzad R Ahrabi (UW) January 7, 2018 15

Aerodynamics Forces, Alpha = 16o High-Lift Common Research Model, Case 1a Aerodynamics Forces, Alpha = 16o SUPG P1 and P2 solutions are close. Difference with HLPW3 results is due to the utilization of different grids. HiOCFD5 Computational Challenges Behzad R Ahrabi (UW) January 7, 2018 16

Convergence Histories (HOMA) High-Lift Common Research Model, Case 1a Convergence Histories (HOMA) HiOCFD5 Computational Challenges Behzad R Ahrabi (UW) January 7, 2018 17

Convergence Histories (HOMA) High-Lift Common Research Model, Case 1a Convergence Histories (HOMA) HiOCFD5 Computational Challenges Behzad R Ahrabi (UW) January 7, 2018 18

Convergence Histories (HOMA) High-Lift Common Research Model, Case 1a Convergence Histories (HOMA) Nonlinear convergence is notably affected by the mesh resolution. Due to “nonlinear imbalance” (dominant local nonlinearities) HiOCFD5 Computational Challenges Behzad R Ahrabi (UW) January 7, 2018 19

Convergence Histories (SANS) High-Lift Common Research Model, Case 1a Convergence Histories (SANS) SANS needs better connection to PETSc. HiOCFD5 Computational Challenges Behzad R Ahrabi (UW) January 7, 2018 20

Convergence Histories (HOMA) High-Lift Common Research Model, Case 1a Convergence Histories (HOMA) Plateau sections of residual results in plateau sections of lift Indication of isolated local changes in the solution HiOCFD5 Computational Challenges Behzad R Ahrabi (UW) January 7, 2018 21

Convergence Histories (HOMA) High-Lift Common Research Model, Case 1a Convergence Histories (HOMA) Refinement of grid in the wake region results in more additional iterations compared to increasing the angle of attack. HiOCFD5 Computational Challenges Behzad R Ahrabi (UW) January 7, 2018 22

How did we do?

HiOCFD5 Computational Challenges A Flash Back … D. Mavriplis and S. Pirzadeh, “Large-Scale Parallel Unstructured Mesh Computations for 3D High-Lift Analysis” Presented at the 37th AIAA Aerospace Sciences Meeting, AIAA Paper 99-0537, Reno NV, January 1999. “Current estimates place the requirements for accurate Reynolds-averaged Navier-Stokes high-lift analysis of a complete transport aircraft configuration in the range of 107 to 108 grid points” Today: This estimate is still valid and finite-element discretizations are expected to reach mesh resolved solutions at the lower bound of that range. But can they do that efficiently? 1 HiOCFD5 Computational Challenges Behzad R Ahrabi (UW) January 7, 2018 23

HiOCFD5 Computational Challenges A Flash Back … Required computational expenses reported in AIAA Paper 99-0537: Coarse (fine) grid: 3.1 (24.7) million DoFs 7 (52) GB of memory 62 minutes (4.5 hours) on 256 processors of the Cray T3E-600 (300 MHz) for a 500 multigrid cycles run (residual reduction of 4 order of magnitude) Today: Finite-element solvers can be robust and they can reach machine convergence. But are they scalable? Is machine convergence important? Strong scalability: positive steps toward strong linear solvers Weak scalability: lack of research in optimal methods (e.g. multigrid/multilevel methods) HiOCFD5 Computational Challenges Behzad R Ahrabi (UW) January 7, 2018 24

HiOCFD5 Computational Challenges Conclusions Grids: Grids with and without wake resolutions were utilized. Wake-resolved grids require more nonlinear steps. Larger domains are desired for future works. Solutions: Different preconditioning techniques were employed by different contributors: ILU(k) Implicit line smoother (more desirable) Nonlinear convergence showed notable dependency on the grid resolution. More research on the nonlinear solver is encouraged Like HiOCFD4: Feasibility of high-order CFD for high-lift configuration was demonstrated. High-lift case still remains as a challenging task. HiOCFD5 Computational Challenges Behzad R Ahrabi (UW) January 7, 2018 25

Acknowledgments for HOMA results "This research was sponsored by NASA's Transformational Tools and Technologies (TTT) Project of the Transformative Aeronautics Concepts Program under the Aeronautics Research Mission Directorate."

Thank you! Any questions?