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Advances in Structural Mechanics Modeled with FEM
| Advances in Structural Mechanics Modeled with FEM |
| Autore | Tarantino Angelo Marcello |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (266 p.) |
| Soggetto topico |
Research & information: general
Technology: general issues |
| Soggetto non controllato |
3D elasticity
acoustic black holes acoustic-oriented design additive manufacturing beam element bond-slip bowing carbon nanotubes coalbed methane cohesive zone model compactness index composite convergence crack band dual-porosity and dual-permeability media effective stiffness matrix Elastica Eulerian slenderness FEM FGM finite bending finite element finite element analysis finite element method Finite Element modeling Finite elements flexural behavior fracture geometric parameters free vibrations FRP functionally graded beam geometric nonlinearity hollow circular beams impact loading implementation machine tool masonry material parameter identification material-oriented shape functions mesh sensitivity model order reduction Monte Carlo method multibody system n/a NURBS orthotropic failure criteria plasticity plate post-peak softening pultruded beams Quasi-3D rate-dependent reinforced concrete rigid finite element method sandwich plates Searle parameter soda-lime glass static bending steel-polymer concrete stochastic fracture network strain localization thermoelasticity three-phase composite materials transient heat flux vibroacoustics viscoplastic regularization zig-zag theory |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557351403321 |
Tarantino Angelo Marcello
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Entropy in Dynamic Systems / J. A. Tenreiro Machado, Jan Awrejcewicz
| Entropy in Dynamic Systems / J. A. Tenreiro Machado, Jan Awrejcewicz |
| Autore | Tenreiro Machado J. A |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (172 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
nonautonomous (autonomous) dynamical system
stabilization multi-time scale fractional stochastic differential equations conditional Tsallis entropy wavelet transform hyperchaotic system Chua’s system permutation entropy neural network method Information transfer self-synchronous stream cipher colored noise Benettin method method of synchronization topological entropy geometric nonlinearity Kantz method dynamical system Gaussian white noise phase-locked loop wavelets Rosenstein method m-dimensional manifold deterministic chaos disturbation Mittag–Leffler function approximate entropy bounded chaos Adomian decomposition fractional calculus product MV-algebra Tsallis entropy descriptor fractional linear systems analytical solution fractional Brownian motion true chaos discrete mapping partition unbounded chaos fractional stochastic partial differential equation noise induced transitions random number generator Fourier spectrum hidden attractors (asymptotical) focal entropy point regular pencils continuous flow Bernoulli–Euler beam image encryption Gauss wavelets Lyapunov exponents discrete fractional calculus Lorenz system Schur factorization discrete chaos Wolf method |
| ISBN |
9783039216178
3039216171 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367752003321 |
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Tenreiro Machado J. A
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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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