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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 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 |
| 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
| Machine Learning, Low-Rank Approximations and Reduced Order Modeling in Computational Mechanics |
| Autore | Fritzen Felix |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (254 p.) |
| 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 | 3-03921-410-1 |
| 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
| Methods in Computational Biology |
| Autore | Carlson Ross |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (214 p.) |
| 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 | 3-03921-164-1 |
| 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 electronic resource (174 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Materials science |
| Soggetto non controllato |
graphene nano-powder
thermal nanofluid rheological behavior Carreau nanofluid lubrication effect Vallejo law liquid-liquid interface shear rate nanoparticles diffuse interface phase field method molecular dynamics numerical simulation octree optimization microstructure generation domain reconstruction flow simulation permeability computing data-driven model model order reduction proper orthogonal decomposition manifold learning diffuse approximation microcapsule suspension Hausdorff distance topological data analysis (TDA) reinforced polymers concentrated suspensions flow induced orientation discrete numerical simulation steam generator void fraction mixture model porous media approach reduced-order model Proper Orthogonal Decomposition (POD) energy dissipation interval-pooled stepped spillway omega identification method Navier-Stokes equation singularity transitional flow turbulence Poisson equation nanoparticle two-phase flow particle coagulation and breakage flow around circular cylinders particle distribution |
| 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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