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Autore: | Jenkins Karl |
Titolo: | Computational Aerodynamic Modeling of Aerospace Vehicles |
Pubblicazione: | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica: | 1 electronic resource (294 p.) |
Soggetto non controllato: | 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 | |
Persona (resp. second.): | GhoreyshiMehdi |
Sommario/riassunto: | 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. |
Titolo autorizzato: | Computational Aerodynamic Modeling of Aerospace Vehicles |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910346677003321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |