Pages that link to "Item:Q3355624"

The following pages link to Polynomial Chaos in Stochastic Finite Elements (Q3355624):

Displaying 50 items.

• GMRES with embedded ensemble propagation for the efficient solution of parametric linear systems in uncertainty quantification of computational models (Q2236142) (← links)
• An extended polynomial chaos expansion for PDF characterization and variation with aleatory and epistemic uncertainties (Q2237264) (← links)
• A finite element method for Maxwell polynomial chaos Debye model (Q2279232) (← links)
• A polynomial chaos expanded hybrid fuzzy-stochastic model for transversely fiber reinforced plastics (Q2293706) (← links)
• Stochastic model order reduction in randomly parametered linear dynamical systems (Q2294802) (← links)
• Functional approximation and projection of stored energy functions in computational homogenization of hyperelastic materials: a probabilistic perspective (Q2308733) (← links)
• A new non-intrusive polynomial chaos using higher order sensitivities (Q2310152) (← links)
• Spectral stochastic modeling of uncertainties in nonlinear diffusion problems of moisture transfer in wood (Q2337649) (← links)
• Comparative study of projection schemes for stochastic finite element analysis (Q2384197) (← links)
• A Chebyshev polynomial-based Galerkin method for the discretization of spatially varying random properties (Q2398653) (← links)
• A resilient domain decomposition polynomial chaos solver for uncertain elliptic PDEs (Q2414430) (← links)
• Modeling multibody systems with uncertainties. I: Theoretical and computational aspects (Q2433228) (← links)
• On the capabilities of the polynomial chaos expansion method within SFE analysis -- an overview (Q2443839) (← links)
• A hybrid approach for the time domain analysis of linear stochastic structures (Q2450019) (← links)
• A method for the dynamical analysis of FE discretized uncertain structures in the frequency domain (Q2495809) (← links)
• A reproducing kernel particle method for solving generalized probability density evolution equation in stochastic dynamic analysis (Q2665054) (← links)
• A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems (Q2672767) (← links)
• On the influence of over-parameterization in manifold based surrogates and deep neural operators (Q2687573) (← links)
• Three-dimensional stochastic finite element method for elasto-plastic bodies (Q2729297) (← links)
• Exploring emerging manycore architectures for uncertainty quantification through embedded stochastic Galerkin methods (Q2875308) (← links)
• Parameter estimation for mechanical systems via an explicit representation of uncertainty (Q2937934) (← links)
• Interval uncertain method for multibody mechanical systems using Chebyshev inclusion functions (Q2952325) (← links)
• An adaptive spectral Galerkin stochastic finite element method using variability response functions (Q2952818) (← links)
• New direct probabilistic approach for static responses of structures with uncertainties (Q2995473) (← links)
• Polynomial Chaos Expansion of Random Coefficients and the Solution of Stochastic Partial Differential Equations in the Tensor Train Format (Q3452537) (← links)
• Stochastic finite element: a non intrusive approach by regression (Q3611573) (← links)
• Ensemble Grouping Strategies for Embedded Stochastic Collocation Methods Applied to Anisotropic Diffusion Problems (Q4636367) (← links)
• Stochastic finite element method for elasto-plastic body (Q4953266) (← links)
• A Stochastic Galerkin Cell-based Smoothed Finite Element Method (SGCS–FEM) (Q4985151) (← links)
• Efficient Uncertainty Quantification and Variance-Based Sensitivity Analysis in Epidemic Modelling Using Polynomial Chaos (Q5079575) (← links)
• Surrogate-Based Ensemble Grouping Strategies for Embedded Sampling-Based Uncertainty Quantification (Q5141287) (← links)
• On the Importance of the Jacobian Determinant in Parameter Inference for Random Parameter and Random Measurement Error Models (Q5237182) (← links)
• The stochastic Galerkin scaled boundary finite element method on random domain (Q5273352) (← links)
• Embedded Ensemble Propagation for Improving Performance, Portability, and Scalability of Uncertainty Quantification on Emerging Computational Architectures (Q5738150) (← links)
• A Flexible Uncertainty Propagation Framework for General Multiphysics Systems (Q5741176) (← links)
• Weak Galerkin finite element methods for stochastic linear plane elasticity equations (Q5868460) (← links)
• Computational procedure for a fast calculation of eigenvectors and eigenvalues of structures with random properties (Q5958061) (← links)
• An <i>hp</i>‐adaptive multi‐element stochastic collocation method for surrogate modeling with information re‐use (Q6082501) (← links)
• Stochastic modeling and statistical calibration with model error and scarce data (Q6084475) (← links)
• Correlation analysis of the elastic‐ideal plastic material behavior of short fiber‐reinforced composites (Q6092249) (← links)
• Sensitivity-enhanced generalized polynomial chaos for efficient uncertainty quantification (Q6095126) (← links)
• A moment quadrature method for uncertainty quantification of three-dimensional crack propagation via extremely few model runs (Q6097609) (← links)
• Classifier-based adaptive polynomial chaos expansion for high-dimensional uncertainty quantification (Q6125488) (← links)
• Polynomial-chaos-based conditional statistics for probabilistic learning with heterogeneous data applied to atomic collisions of helium on graphite substrate (Q6198152) (← links)
• Measurements-based constrained control optimization in presence of uncertainties with application to the driver commands for high-speed trains (Q6198226) (← links)
• A new reliability method combining kriging and probability density evolution method (Q6492827) (← links)
• A difference-wavelet method for solving generalized density evolution equation in stochastic structural analysis (Q6492915) (← links)
• Diffusion maps-based surrogate modeling: an alternative machine learning approach (Q6497676) (← links)
• Reconstruction of random fields concentrated on an unknown curve using irregularly sampled data (Q6549634) (← links)
• An iterative polynomial chaos approach toward stochastic elastostatic structural analysis with non-Gaussian randomness (Q6553858) (← links)