Model Reduction for Steady Hypersonic Aerodynamics via Conservative Manifold Least-Squares Petrov–Galerkin Projection
Abstract
High-speed aerospace engineering applications rely heavily on computational fluid dynamics (CFD) models for design and analysis. This reliance on CFD models necessitates performing accurate and reliable uncertainty quantification (UQ) of the CFD models, which can be very expensive for hypersonic flows. Additionally, UQ approaches are many-query problems requiring many runs with a wide range of input parameters. One way to enable computationally expensive models to be used in such many-query problems is to employ projection-based reduced-order models (ROMs) in lieu of the (high-fidelity) full-order model (FOM). In particular, the least-squares Petrov–Galerkin (LSPG) ROM (equipped with hyper-reduction) has demonstrated the ability to significantly reduce simulation costs while retaining high levels of accuracy on a range of problems, including subsonic CFD applications. This allows LSPG ROM simulations to replace the FOM simulations in UQ studies, making UQ tractable even for large-scale CFD models. This work presents the first application of LSPG to a hypersonic CFD application, the Hypersonic International Flight Research Experimentation 1 (HIFiRE-1) in a three-dimensional, turbulent Mach 7.1 flow. This paper shows the ability of the ROM to significantly reduce computational costs while maintaining high levels of accuracy in computed quantities of interest.
- Authors:
-
- Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- NexGen Analytics, Sheridan, WY (United States)
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Univ. of Washington, Seattle, WA (United States)
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-CA), Livermore, CA (United States); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1770340
- Report Number(s):
- SAND-2020-11705J
Journal ID: ISSN 0001-1452; 692231
- Grant/Contract Number:
- AC04-94AL85000
- Resource Type:
- Accepted Manuscript
- Journal Name:
- AIAA Journal
- Additional Journal Information:
- Journal Volume: 59; Journal Issue: 4; Journal ID: ISSN 0001-1452
- Publisher:
- AIAA
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 42 ENGINEERING
Citation Formats
Blonigan, Patrick J., Rizzi, Francesco, Howard, Micah, Fike, Jeffrey A., and Carlberg, Kevin T. Model Reduction for Steady Hypersonic Aerodynamics via Conservative Manifold Least-Squares Petrov–Galerkin Projection. United States: N. p., 2021.
Web. doi:10.2514/1.j059785.
Blonigan, Patrick J., Rizzi, Francesco, Howard, Micah, Fike, Jeffrey A., & Carlberg, Kevin T. Model Reduction for Steady Hypersonic Aerodynamics via Conservative Manifold Least-Squares Petrov–Galerkin Projection. United States. https://doi.org/10.2514/1.j059785
Blonigan, Patrick J., Rizzi, Francesco, Howard, Micah, Fike, Jeffrey A., and Carlberg, Kevin T. Thu .
"Model Reduction for Steady Hypersonic Aerodynamics via Conservative Manifold Least-Squares Petrov–Galerkin Projection". United States. https://doi.org/10.2514/1.j059785. https://www.osti.gov/servlets/purl/1770340.
@article{osti_1770340,
title = {Model Reduction for Steady Hypersonic Aerodynamics via Conservative Manifold Least-Squares Petrov–Galerkin Projection},
author = {Blonigan, Patrick J. and Rizzi, Francesco and Howard, Micah and Fike, Jeffrey A. and Carlberg, Kevin T.},
abstractNote = {High-speed aerospace engineering applications rely heavily on computational fluid dynamics (CFD) models for design and analysis. This reliance on CFD models necessitates performing accurate and reliable uncertainty quantification (UQ) of the CFD models, which can be very expensive for hypersonic flows. Additionally, UQ approaches are many-query problems requiring many runs with a wide range of input parameters. One way to enable computationally expensive models to be used in such many-query problems is to employ projection-based reduced-order models (ROMs) in lieu of the (high-fidelity) full-order model (FOM). In particular, the least-squares Petrov–Galerkin (LSPG) ROM (equipped with hyper-reduction) has demonstrated the ability to significantly reduce simulation costs while retaining high levels of accuracy on a range of problems, including subsonic CFD applications. This allows LSPG ROM simulations to replace the FOM simulations in UQ studies, making UQ tractable even for large-scale CFD models. This work presents the first application of LSPG to a hypersonic CFD application, the Hypersonic International Flight Research Experimentation 1 (HIFiRE-1) in a three-dimensional, turbulent Mach 7.1 flow. This paper shows the ability of the ROM to significantly reduce computational costs while maintaining high levels of accuracy in computed quantities of interest.},
doi = {10.2514/1.j059785},
journal = {AIAA Journal},
number = 4,
volume = 59,
place = {United States},
year = {Thu Apr 01 00:00:00 EDT 2021},
month = {Thu Apr 01 00:00:00 EDT 2021}
}
Works referenced in this record:
Ground Test Studies of the HIFiRE-1 Transition Experiment Part 1: Experimental Results
journal, November 2008
- Wadhams, T. P.; Mundy, E.; MacLean, M. G.
- Journal of Spacecraft and Rockets, Vol. 45, Issue 6
The GNAT method for nonlinear model reduction: Effective implementation and application to computational fluid dynamics and turbulent flows
journal, June 2013
- Carlberg, Kevin; Farhat, Charbel; Cortial, Julien
- Journal of Computational Physics, Vol. 242
Proper Orthogonal Decomposition for Reduced-Order Thermal Solution in Hypersonic Aerothermoelastic Simulations
journal, May 2011
- Falkiewicz, Nathan J.; Cesnik, Carlos E. S.
- AIAA Journal, Vol. 49, Issue 5
Efficient non-linear model reduction via a least-squares Petrov-Galerkin projection and compressive tensor approximations
journal, October 2010
- Carlberg, Kevin; Bou-Mosleh, Charbel; Farhat, Charbel
- International Journal for Numerical Methods in Engineering, Vol. 86, Issue 2
Reduced-Order Aerothermoelastic Framework for Hypersonic Vehicle Control Simulation
journal, August 2011
- Falkiewicz, Nathan J.; Cesnik, Carlos E. S.; Crowell, Andrew R.
- AIAA Journal, Vol. 49, Issue 8
Robust model reduction by $$L^{1}$$-norm minimization and approximation via dictionaries: application to nonlinear hyperbolic problems
journal, January 2016
- Abgrall, Rémi; Amsallem, David; Crisovan, Roxana
- Advanced Modeling and Simulation in Engineering Sciences, Vol. 3, Issue 1
Stochastic Least-Squares Petrov--Galerkin Method for Parameterized Linear Systems
journal, January 2018
- Lee, Kookjin; Carlberg, Kevin; Elman, Howard C.
- SIAM/ASA Journal on Uncertainty Quantification, Vol. 6, Issue 1
Investigations and Improvement of Robustness of Reduced-Order Models of Reacting Flow
conference, January 2019
- Huang, Cheng; Duraisamy, Karthik; Merkle, Charles
- AIAA Scitech 2019 Forum
Multistep Uncertainty Quantification Approach Applied to Hypersonic Reentry Flows
journal, January 2014
- West, Thomas K.; Hosder, Serhat; Johnston, Christopher O.
- Journal of Spacecraft and Rockets, Vol. 51, Issue 1
Transported snapshot model order reduction approach for parametric, steady-state fluid flows containing parameter-dependent shocks: Model order reduction for fluid flows containing shocks
journal, December 2018
- Nair, Nirmal J.; Balajewicz, Maciej
- International Journal for Numerical Methods in Engineering, Vol. 117, Issue 12
Uncertainty Propagation in Hypersonic Aerothermoelastic Analysis
journal, January 2014
- Lamorte, Nicolas; Friedmann, Peretz P.; Glaz, Bryan
- Journal of Aircraft, Vol. 51, Issue 1
Reduced Basis Approximation and a Posteriori Error Estimation for Affinely Parametrized Elliptic Coercive Partial Differential Equations: Application to Transport and Continuum Mechanics
journal, May 2008
- Rozza, G.; Huynh, D. B. P.; Patera, A. T.
- Archives of Computational Methods in Engineering, Vol. 15, Issue 3
Conservative model reduction for finite-volume models
journal, October 2018
- Carlberg, Kevin; Choi, Youngsoo; Sargsyan, Syuzanna
- Journal of Computational Physics, Vol. 371
Model Reduction of Computational Aerothermodynamics for Hypersonic Aerothermoelasticity
journal, January 2012
- Crowell, Andrew R.; McNamara, Jack J.
- AIAA Journal, Vol. 50, Issue 1
Uncertainty Quantification of Hypersonic Reentry Flows with Sparse Sampling and Stochastic Expansions
journal, January 2015
- West, Thomas K.; Hosder, Serhat
- Journal of Spacecraft and Rockets, Vol. 52, Issue 1
Uncertainty Quantification for Mars Entry, Descent, and Landing Reconstruction Using Adaptive Filtering
journal, May 2014
- Dutta, Soumyo; Braun, Robert D.; Karlgaard, Christopher D.
- Journal of Spacecraft and Rockets, Vol. 51, Issue 3
Turbulence, Coherent Structures, Dynamical Systems and Symmetry
book, January 2010
- Holmes, Philip; Lumley, John L.; Berkooz, Gal
Model reduction using L 1 -norm minimization as an application to nonlinear hyperbolic problems: Model reduction for hyperbolic problems
journal, April 2018
- Abgrall, R.; Crisovan, R.
- International Journal for Numerical Methods in Fluids, Vol. 87, Issue 12
Nonlinear Thermal Reduced-Order Modeling for Hypersonic Vehicles
journal, July 2017
- Klock, Ryan J.; Cesnik, Carlos E. S.
- AIAA Journal, Vol. 55, Issue 7
Galerkin v. least-squares Petrov–Galerkin projection in nonlinear model reduction
journal, February 2017
- Carlberg, Kevin; Barone, Matthew; Antil, Harbir
- Journal of Computational Physics, Vol. 330
Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders
journal, November 2019
- Lee, Kookjin; Carlberg, Kevin T.
- Journal of Computational Physics
Reliable Real-Time Solution of Parametrized Partial Differential Equations: Reduced-Basis Output Bound Methods
journal, November 2001
- Prud’homme, C.; Rovas, D. V.; Veroy, K.
- Journal of Fluids Engineering, Vol. 124, Issue 1
Reduced order modeling of a two-dimensional flow with moving shocks
journal, August 2003
- Lucia, David J.; King, Paul I.; Beran, Philip S.
- Computers & Fluids, Vol. 32, Issue 7