Computational Aerodynamic Modeling of Aerospace Vehicles
Currently, the use of computational fluid dynamics (CFD) solutions is considered as the state-of-the-art in the modeling of unsteady nonlinear flow physics and offers an early and improved understanding of air vehicle aerodynamics and stability and control characteristics. This Special Issue covers...
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| Format: | Online |
| Sprog: | engelsk |
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MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Online adgang: | 32467 |
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| _version_ | 1869515925441478656 |
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| author | Jenkins, Karl Ghoreyshi, Mehdi |
| author_browse | Ghoreyshi, Mehdi Jenkins, Karl |
| author_facet | Jenkins, Karl Ghoreyshi, Mehdi |
| author_sort | Jenkins, Karl |
| collection | Directory of Open Access Books |
| description | Currently, the use of computational fluid dynamics (CFD) solutions is considered as the state-of-the-art in the modeling of unsteady nonlinear flow physics and offers an early and improved understanding of air vehicle aerodynamics and stability and control characteristics. This Special Issue covers recent computational efforts on simulation of aerospace vehicles including fighter aircraft, rotorcraft, propeller driven vehicles, unmanned vehicle, projectiles, and air drop configurations. The complex flow physics of these configurations pose significant challenges in CFD modeling. Some of these challenges include prediction of vortical flows and shock waves, rapid maneuvering aircraft with fast moving control surfaces, and interactions between propellers and wing, fluid and structure, boundary layer and shock waves. Additional topic of interest in this Special Issue is the use of CFD tools in aircraft design and flight mechanics. The problem with these applications is the computational cost involved, particularly if this is viewed as a brute-force calculation of vehicle’s aerodynamics through its flight envelope. To make progress in routinely using of CFD in aircraft design, methods based on sampling, model updating and system identification should be considered. |
| format | Online |
| id | doab-20.500.12854ir-43698 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-436982024-04-11T15:11:26Z Computational Aerodynamic Modeling of Aerospace Vehicles Jenkins, Karl Ghoreyshi, Mehdi TA1-2040 TL1-4050 T1-995 numerical methods modeling aerodynamics Taylor–Green vortex slender-body neural networks shock-channel wind gust responses installed propeller bifurcation RANS wake multi-directional bluff body MDO variable fidelity computational fluid dynamics (CFD) high angles of attack aeroelasticity computational fluid dynamics wind tunnel Godunov method flow control unsteady aerodynamic characteristics overset grid approach convolution integral MUSCL DDES dynamic Smagorinsky subgrid-scale model CPACS flutter reduced-order model meshing vortex generators hybrid reduced-order model microfluidics Riemann solver characteristics-based scheme CFD wing–propeller aerodynamic interaction kinetic energy dissipation Euler formation square cylinder multi-fidelity turbulence model subsonic large eddy simulation after-body flow distortion VLM numerical dissipation hypersonic modified equation analysis fluid mechanics reduced order aerodynamic model p-factor URANS flexible wings chemistry detection microelectromechanical systems (MEMS) angle of attack sharp-edge gust truncation error aerodynamic performance quasi-analytical gasdynamics discontinuous Galerkin finite element method (DG–FEM) geometry S-duct diffuser thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Currently, the use of computational fluid dynamics (CFD) solutions is considered as the state-of-the-art in the modeling of unsteady nonlinear flow physics and offers an early and improved understanding of air vehicle aerodynamics and stability and control characteristics. This Special Issue covers recent computational efforts on simulation of aerospace vehicles including fighter aircraft, rotorcraft, propeller driven vehicles, unmanned vehicle, projectiles, and air drop configurations. The complex flow physics of these configurations pose significant challenges in CFD modeling. Some of these challenges include prediction of vortical flows and shock waves, rapid maneuvering aircraft with fast moving control surfaces, and interactions between propellers and wing, fluid and structure, boundary layer and shock waves. Additional topic of interest in this Special Issue is the use of CFD tools in aircraft design and flight mechanics. The problem with these applications is the computational cost involved, particularly if this is viewed as a brute-force calculation of vehicle’s aerodynamics through its flight envelope. To make progress in routinely using of CFD in aircraft design, methods based on sampling, model updating and system identification should be considered. 2021-02-11T10:18:56Z 2021-02-11T10:18:56Z 2019-03-08 11:42:05 2019 book 32467 9783038976103 https://directory.doabooks.org/handle/20.500.12854/43698 eng image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/1162 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03897-611-0 10.3390/books978-3-03897-611-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783038976103 294 open access |
| spellingShingle | TA1-2040 TL1-4050 T1-995 numerical methods modeling aerodynamics Taylor–Green vortex slender-body neural networks shock-channel wind gust responses installed propeller bifurcation RANS wake multi-directional bluff body MDO variable fidelity computational fluid dynamics (CFD) high angles of attack aeroelasticity computational fluid dynamics wind tunnel Godunov method flow control unsteady aerodynamic characteristics overset grid approach convolution integral MUSCL DDES dynamic Smagorinsky subgrid-scale model CPACS flutter reduced-order model meshing vortex generators hybrid reduced-order model microfluidics Riemann solver characteristics-based scheme CFD wing–propeller aerodynamic interaction kinetic energy dissipation Euler formation square cylinder multi-fidelity turbulence model subsonic large eddy simulation after-body flow distortion VLM numerical dissipation hypersonic modified equation analysis fluid mechanics reduced order aerodynamic model p-factor URANS flexible wings chemistry detection microelectromechanical systems (MEMS) angle of attack sharp-edge gust truncation error aerodynamic performance quasi-analytical gasdynamics discontinuous Galerkin finite element method (DG–FEM) geometry S-duct diffuser thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Jenkins, Karl Ghoreyshi, Mehdi Computational Aerodynamic Modeling of Aerospace Vehicles |
| title | Computational Aerodynamic Modeling of Aerospace Vehicles |
| title_full | Computational Aerodynamic Modeling of Aerospace Vehicles |
| title_fullStr | Computational Aerodynamic Modeling of Aerospace Vehicles |
| title_full_unstemmed | Computational Aerodynamic Modeling of Aerospace Vehicles |
| title_short | Computational Aerodynamic Modeling of Aerospace Vehicles |
| title_sort | computational aerodynamic modeling of aerospace vehicles |
| topic | TA1-2040 TL1-4050 T1-995 numerical methods modeling aerodynamics Taylor–Green vortex slender-body neural networks shock-channel wind gust responses installed propeller bifurcation RANS wake multi-directional bluff body MDO variable fidelity computational fluid dynamics (CFD) high angles of attack aeroelasticity computational fluid dynamics wind tunnel Godunov method flow control unsteady aerodynamic characteristics overset grid approach convolution integral MUSCL DDES dynamic Smagorinsky subgrid-scale model CPACS flutter reduced-order model meshing vortex generators hybrid reduced-order model microfluidics Riemann solver characteristics-based scheme CFD wing–propeller aerodynamic interaction kinetic energy dissipation Euler formation square cylinder multi-fidelity turbulence model subsonic large eddy simulation after-body flow distortion VLM numerical dissipation hypersonic modified equation analysis fluid mechanics reduced order aerodynamic model p-factor URANS flexible wings chemistry detection microelectromechanical systems (MEMS) angle of attack sharp-edge gust truncation error aerodynamic performance quasi-analytical gasdynamics discontinuous Galerkin finite element method (DG–FEM) geometry S-duct diffuser thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | TA1-2040 TL1-4050 T1-995 numerical methods modeling aerodynamics Taylor–Green vortex slender-body neural networks shock-channel wind gust responses installed propeller bifurcation RANS wake multi-directional bluff body MDO variable fidelity computational fluid dynamics (CFD) high angles of attack aeroelasticity computational fluid dynamics wind tunnel Godunov method flow control unsteady aerodynamic characteristics overset grid approach convolution integral MUSCL DDES dynamic Smagorinsky subgrid-scale model CPACS flutter reduced-order model meshing vortex generators hybrid reduced-order model microfluidics Riemann solver characteristics-based scheme CFD wing–propeller aerodynamic interaction kinetic energy dissipation Euler formation square cylinder multi-fidelity turbulence model subsonic large eddy simulation after-body flow distortion VLM numerical dissipation hypersonic modified equation analysis fluid mechanics reduced order aerodynamic model p-factor URANS flexible wings chemistry detection microelectromechanical systems (MEMS) angle of attack sharp-edge gust truncation error aerodynamic performance quasi-analytical gasdynamics discontinuous Galerkin finite element method (DG–FEM) geometry S-duct diffuser thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | 32467 |
| work_keys_str_mv | AT jenkinskarl computationalaerodynamicmodelingofaerospacevehicles AT ghoreyshimehdi computationalaerodynamicmodelingofaerospacevehicles |