Pages that link to "Item:Q465717"

The following pages link to Uncertainty quantification in computational stochastic multiscale analysis of nonlinear elastic materials (Q465717):

Displaying 37 items.

• Parametric models for samples of random functions (Q350126) (← links)
• Computational stochastic statics of an uncertain curved structure with geometrical nonlinearity in three-dimensional elasticity (Q416268) (← links)
• Homogenization of random heterogeneous media with inclusions of arbitrary shape modeled by XFEM (Q487845) (← links)
• Multiscale modeling of failure in composites under model parameter uncertainty (Q498537) (← links)
• A stochastic model for elasticity tensors with uncertain material symmetries (Q619935) (← links)
• Computational uncertainty analysis in multiresolution materials via stochastic constitutive theory (Q643960) (← links)
• A stochastic Galerkin approach to uncertainty quantification in poroelastic media (Q669364) (← links)
• Stochastic hyperelastic modeling considering dependency of material parameters (Q1628729) (← links)
• General formulation of the first-order perturbation-based stochastic homogenization method using many random physical parameters for multi-phase composite materials (Q1637942) (← links)
• Uncertainty analysis in multiscale modeling of concrete based on continuum micromechanics (Q1658653) (← links)
• Bayesian uncertainty quantification and propagation for discrete element simulations of granular materials (Q1668783) (← links)
• A PCE-based multiscale framework for the characterization of uncertainties in complex systems (Q1753923) (← links)
• An inverse micro-mechanical analysis toward the stochastic homogenization of nonlinear random composites (Q1987883) (← links)
• Uncertainty quantification for a 1D thermo-hyperelastic coupled problem using polynomial chaos projection and \(p\)-FEMs (Q2006464) (← links)
• Reduced model of macro-scale stochastic plasticity identification by Bayesian inference: application to quasi-brittle failure of concrete (Q2021054) (← links)
• Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanics (Q2083129) (← links)
• Spatially-dependent material uncertainties in anisotropic nonlinear elasticity: stochastic modeling, identification, and propagation (Q2136730) (← links)
• A deep learning driven pseudospectral PCE based FFT homogenization algorithm for complex microstructures (Q2237801) (← links)
• Maximum entropy-based uncertainty modeling at the elemental level in linear structural and thermal problems (Q2281498) (← links)
• Stochastic analysis of polymer composites rupture at large deformations modeled by a phase field method (Q2308732) (← links)
• Functional approximation and projection of stored energy functions in computational homogenization of hyperelastic materials: a probabilistic perspective (Q2308733) (← links)
• Non-intrusive data learning based computational homogenization of materials with uncertainties (Q2322971) (← links)
• Stochastic multiscale homogenization analysis of heterogeneous materials under finite deformations with full uncertainty in the microstructure (Q2356425) (← links)
• Recent advances on topology optimization of multiscale nonlinear structures (Q2359612) (← links)
• Monte Carlo algorithm for vector-valued Gaussian functions with preset component accuracies (Q2409055) (← links)
• Perturbation-based stochastic multi-scale computational homogenization method for the determination of the effective properties of composite materials with random properties (Q2414616) (← links)
• Determination of RVE size for random composites with local volume fraction variation (Q2419295) (← links)
• Computational stochastic homogenization of heterogeneous media from an elasticity random field having an uncertain spectral measure (Q2667302) (← links)
• Uncertainties consideration in elastically heterogeneous fluid-saturated media using first-order second moment stochastic method and Green's function approach (Q2692127) (← links)
• Microstructure models and material response by extreme value theory (Q2801327) (← links)
• A nonintrusive stochastic multiscale solver (Q2894845) (← links)
• Non-Gaussian positive-definite matrix-valued random fields with constrained eigenvalues: application to random elasticity tensors with uncertain material symmetries (Q2894860) (← links)
• Computational homogenization of nonlinear elastic materials using neural networks (Q2952866) (← links)
• Mathematical methods for uncertainty quanti cation in nonlin-ear multi-physics systems and their numerical simulations (Q5018046) (← links)
• INFERENCE AND UNCERTAINTY PROPAGATION OF ATOMISTICALLY INFORMED CONTINUUM CONSTITUTIVE LAWS, PART 2: GENERALIZED CONTINUUM MODELS BASED ON GAUSSIAN PROCESSES (Q5045421) (← links)
• Stochastic modeling of the Ogden class of stored energy functions for hyperelastic materials: the compressible case (Q6065111) (← links)
• Efficient uncertainty propagation for stochastic multiscale linear elasticity (Q6566059) (← links)