Mifsud et al., 2015 - Google Patents
Speeding-up the computation of high-lift aerodynamics using a residual-based reduced-order modelMifsud et al., 2015
View PDF- Document ID
- 10077676253665985028
- Author
- Mifsud M
- Zimmermann R
- Görtz S
- Publication year
- Publication venue
- CEAS Aeronautical Journal
External Links
Snippet
In this article, we propose a strategy for speeding-up the computation of the aerodynamics of industrial high-lift configurations using a residual-based reduced-order model (ROM). The ROM is based on the proper orthogonal decomposition (POD) of a set of solutions to the …
- 238000000034 method 0 abstract description 46
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
- G06F17/5018—Computer-aided design using simulation using finite difference methods or finite element methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
- G06F17/504—Formal methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/11—Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
- G06F17/13—Differential equations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5086—Mechanical design, e.g. parametric or variational design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2217/00—Indexing scheme relating to computer aided design [CAD]
- G06F2217/16—Numerical modeling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2217/00—Indexing scheme relating to computer aided design [CAD]
- G06F2217/41—Molding
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2217/00—Indexing scheme relating to computer aided design [CAD]
- G06F2217/46—Fuselage
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2217/00—Indexing scheme relating to computer aided design [CAD]
- G06F2217/80—Thermal analysis and optimization
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2217/00—Indexing scheme relating to computer aided design [CAD]
- G06F2217/78—Power analysis and optimization
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B17/00—Systems involving the use of models or simulators of said systems
- G05B17/02—Systems involving the use of models or simulators of said systems electric
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for programme control, e.g. control unit
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F1/00—Details of data-processing equipment not covered by groups G06F3/00 - G06F13/00, e.g. cooling, packaging or power supply specially adapted for computer application
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Kramer et al. | Nonlinear model order reduction via lifting transformations and proper orthogonal decomposition | |
Renganathan et al. | Machine learning for nonintrusive model order reduction of the parametric inviscid transonic flow past an airfoil | |
Jameson | Origins and further development of the Jameson–Schmidt–Turkel scheme | |
Carlberg et al. | Efficient non‐linear model reduction via a least‐squares Petrov–Galerkin projection and compressive tensor approximations | |
Leifsson et al. | Aerodynamic shape optimization by variable-fidelity computational fluid dynamics models: a review of recent progress | |
Abgrall et al. | Robust model reduction by L 1-norm minimization and approximation via dictionaries: application to nonlinear hyperbolic problems | |
Renganathan et al. | Aerodynamic data fusion toward the digital twin paradigm | |
Ghommem et al. | Mode decomposition methods for flows in high-contrast porous media. Global–local approach | |
Blonigan et al. | Least-squares shadowing sensitivity analysis of chaotic flow around a two-dimensional airfoil | |
Zhang et al. | Nonlinear aerodynamic reduced-order model for limit-cycle oscillation and flutter | |
Zimmermann et al. | Reduced-order modeling of steady flows subject to aerodynamic constraints | |
Qu et al. | Investigation into the influences of the low-speed flows' accuracy on RANS simulations | |
Duvigneau et al. | Kriging‐based optimization applied to flow control | |
Nguyen et al. | A modified variable complexity modeling for efficient multidisciplinary aircraft conceptual design | |
Baranyi et al. | Aeroelastic wing section control via relaxed tensor product model transformation framework | |
Renganathan | Koopman-based approach to nonintrusive reduced order modeling: Application to aerodynamic shape optimization and uncertainty propagation | |
Rueda-Ramírez et al. | Truncation error estimation in the p-anisotropic discontinuous Galerkin spectral element method | |
Krolick et al. | State consistence of data-driven reduced order models for parametric aeroelastic analysis | |
Hammond et al. | Topology optimisation of turbulent flow using data-driven modelling | |
Rafiq et al. | A comprehensive scheme for reduction of nonlinear dynamical systems | |
Gaonkar et al. | Application of multilevel scheme and two level discretization for POD based model order reduction of nonlinear transient heat transfer problems | |
Rozza et al. | Reduced basis methods and a posteriori error estimators for heat transfer problems | |
Kalashnikova et al. | Stable and efficient Galerkin reduced order models for non-linear fluid flow | |
Chiplunkar et al. | Gaussian process for aerodynamic pressures prediction in fast fluid structure interaction simulations | |
Halder et al. | Signal interpolation augmented linear nonintrusive reduced-order model for aeroelastic applications |