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Computational Aerodynamic Modeling of Aerospace Vehicles
| Computational Aerodynamic Modeling of Aerospace Vehicles |
| Autore | Jenkins Karl |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 online resource (294 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
aerodynamic performance
aerodynamics aeroelasticity after-body angle of attack bifurcation bluff body CFD characteristics-based scheme chemistry computational fluid dynamics computational fluid dynamics (CFD) convolution integral CPACS DDES detection discontinuous Galerkin finite element method (DG-FEM) dynamic Smagorinsky subgrid-scale model Euler flexible wings flow control flow distortion fluid mechanics flutter formation gasdynamics geometry Godunov method high angles of attack hybrid reduced-order model hypersonic installed propeller kinetic energy dissipation large eddy simulation MDO meshing microelectromechanical systems (MEMS) microfluidics modeling modified equation analysis multi-directional multi-fidelity MUSCL neural networks numerical dissipation numerical methods overset grid approach p-factor quasi-analytical RANS reduced order aerodynamic model reduced-order model Riemann solver S-duct diffuser sharp-edge gust shock-channel slender-body square cylinder subsonic Taylor-Green vortex truncation error turbulence model unsteady aerodynamic characteristics URANS variable fidelity VLM vortex generators wake wind gust responses wind tunnel wing-propeller aerodynamic interaction |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346677003321 |
Jenkins Karl
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning, Low-Rank Approximations and Reduced Order Modeling in Computational Mechanics / Felix Fritzen, David Ryckelynck
| Machine Learning, Low-Rank Approximations and Reduced Order Modeling in Computational Mechanics / Felix Fritzen, David Ryckelynck |
| Autore | Fritzen Felix |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (254 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
supervised machine learning
proper orthogonal decomposition (POD) PGD compression stabilization nonlinear reduced order model gappy POD symplectic model order reduction neural network snapshot proper orthogonal decomposition 3D reconstruction microstructure property linkage nonlinear material behaviour proper orthogonal decomposition reduced basis ECSW geometric nonlinearity POD model order reduction elasto-viscoplasticity sampling surrogate modeling model reduction enhanced POD archive modal analysis low-rank approximation computational homogenization artificial neural networks unsupervised machine learning large strain reduced-order model proper generalised decomposition (PGD) a priori enrichment elastoviscoplastic behavior error indicator computational homogenisation empirical cubature method nonlinear structural mechanics reduced integration domain model order reduction (MOR) structure preservation of symplecticity heterogeneous data reduced order modeling (ROM) parameter-dependent model data science Hencky strain dynamic extrapolation tensor-train decomposition hyper-reduction empirical cubature randomised SVD machine learning inverse problem plasticity proper symplectic decomposition (PSD) finite deformation Hamiltonian system DEIM GNAT |
| ISBN |
9783039214105
3039214101 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367759403321 |
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Fritzen Felix
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Methods in Computational Biology / Ross Carlson, Herbert Sauro
| Methods in Computational Biology / Ross Carlson, Herbert Sauro |
| Autore | Carlson Ross |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (214 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
inosine
immune checkpoint inhibitor geometric singular perturbation theory simulation BioModels Database ADAR calcium current bifurcation analysis bacterial biofilms nonlinear dynamics explanatory model turning point bifurcation oscillator workflow bioreactor integrated modeling modeling methods elementary flux modes visualization multiscale systems biology evolutionary algorithm metabolic model differential evolution reduced-order model computational model gut microbiota dysbiosis canard-induced EADs computational biology metabolic modelling methods SREBP-2 mechanistic model systems modeling biological networks macromolecular composition provenance flux balance analysis immunotherapy compartmental modeling immuno-oncology metabolic network visualization mechanism bistable switch Clostridium difficile infection bioreactor operation optimization microRNA targeting CFD simulation biomass reaction RNA editing ordinary differential equation metabolic modeling mass-action networks hybrid model multiple time scales quantitative systems pharmacology (QSP) mathematical modeling microRNA cancer parameter optimization Hopf bifurcation breast |
| ISBN |
9783039211647
3039211641 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346689103321 |
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Carlson Ross
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Statistical Fluid Dynamics
| Statistical Fluid Dynamics |
| Autore | Ammar Amine |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (174 p.) |
| Soggetto topico |
History of engineering and technology
Materials science Technology: general issues |
| Soggetto non controllato |
Carreau nanofluid
concentrated suspensions data-driven model diffuse approximation diffuse interface discrete numerical simulation domain reconstruction energy dissipation flow around circular cylinders flow induced orientation flow simulation graphene nano-powder Hausdorff distance interval-pooled stepped spillway liquid-liquid interface lubrication effect manifold learning microcapsule suspension microstructure generation mixture model model order reduction molecular dynamics n/a nanoparticle two-phase flow nanoparticles Navier-Stokes equation numerical simulation octree optimization omega identification method particle coagulation and breakage particle distribution permeability computing phase field method Poisson equation porous media approach proper orthogonal decomposition Proper Orthogonal Decomposition (POD) reduced-order model reinforced polymers rheological behavior shear rate singularity steam generator thermal nanofluid topological data analysis (TDA) transitional flow turbulence Vallejo law void fraction |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910585935403321 |
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Ammar Amine
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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