04556nam 2201141z- 450 991034667700332120231214132936.0(CKB)4920000000094897(oapen)https://directory.doabooks.org/handle/20.500.12854/43698(EXLCZ)99492000000009489720202102d2019 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierComputational Aerodynamic Modeling of Aerospace VehiclesMDPI - Multidisciplinary Digital Publishing Institute20191 electronic resource (294 p.)3-03897-610-5 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.numerical methodsmodelingaerodynamicsTaylor–Green vortexslender-bodyneural networksshock-channelwind gust responsesinstalled propellerbifurcationRANSwakemulti-directionalbluff bodyMDOvariable fidelitycomputational fluid dynamics (CFD)high angles of attackaeroelasticitycomputational fluid dynamicswind tunnelGodunov methodflow controlunsteady aerodynamic characteristicsoverset grid approachconvolution integralMUSCLDDESdynamic Smagorinsky subgrid-scale modelCPACSflutterreduced-order modelmeshingvortex generatorshybrid reduced-order modelmicrofluidicsRiemann solvercharacteristics-based schemeCFDwing–propeller aerodynamic interactionkinetic energy dissipationEulerformationsquare cylindermulti-fidelityturbulence modelsubsoniclarge eddy simulationafter-bodyflow distortionVLMnumerical dissipationhypersonicmodified equation analysisfluid mechanicsreduced order aerodynamic modelp-factorURANSflexible wingschemistrydetectionmicroelectromechanical systems (MEMS)angle of attacksharp-edge gusttruncation erroraerodynamic performancequasi-analyticalgasdynamicsdiscontinuous Galerkin finite element method (DG–FEM)geometryS-duct diffuserJenkins Karlauth1320432Ghoreyshi MehdiauthBOOK9910346677003321Computational Aerodynamic Modeling of Aerospace Vehicles3034300UNINA