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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Year of Publication: | 2019 |
Language: | English |
Physical Description: | 1 electronic resource (294 p.) |
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Jenkins, Karl auth Computational Aerodynamic Modeling of Aerospace Vehicles MDPI - Multidisciplinary Digital Publishing Institute 2019 1 electronic resource (294 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier 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. English 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 3-03897-610-5 Ghoreyshi, Mehdi auth |
language |
English |
format |
eBook |
author |
Jenkins, Karl |
spellingShingle |
Jenkins, Karl Computational Aerodynamic Modeling of Aerospace Vehicles |
author_facet |
Jenkins, Karl Ghoreyshi, Mehdi |
author_variant |
k j kj |
author2 |
Ghoreyshi, Mehdi |
author2_variant |
m g mg |
author_sort |
Jenkins, Karl |
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_auth |
Computational Aerodynamic Modeling of Aerospace Vehicles |
title_new |
Computational Aerodynamic Modeling of Aerospace Vehicles |
title_sort |
computational aerodynamic modeling of aerospace vehicles |
publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
publishDate |
2019 |
physical |
1 electronic resource (294 p.) |
isbn |
3-03897-610-5 |
illustrated |
Not Illustrated |
work_keys_str_mv |
AT jenkinskarl computationalaerodynamicmodelingofaerospacevehicles AT ghoreyshimehdi computationalaerodynamicmodelingofaerospacevehicles |
status_str |
n |
ids_txt_mv |
(CKB)4920000000094897 (oapen)https://directory.doabooks.org/handle/20.500.12854/43698 (EXLCZ)994920000000094897 |
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Computational Aerodynamic Modeling of Aerospace Vehicles |
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fullrecord |
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