The following pages link to (Q3997987):
Displaying 50 items.
- Mean-field and full-field homogenization with polymorphic uncertain geometry and material parameters (Q2020721) (← links)
- Modeling strength and failure variability due to porosity in additively manufactured metals (Q2020756) (← links)
- A stochastic multiscale formulation for isogeometric composite Kirchhoff-Love shells (Q2020858) (← links)
- Stochastic phase-field modeling of brittle fracture: computing multiple crack patterns and their probabilities (Q2020933) (← links)
- Hybrid uncertainty analysis of functionally graded plates via multiple-imprecise-random-field modelling of uncertain material properties (Q2021161) (← links)
- A matrix-free isogeometric Galerkin method for Karhunen-Loève approximation of random fields using tensor product splines, tensor contraction and interpolation based quadrature (Q2021879) (← links)
- The statistical finite element method (statFEM) for coherent synthesis of observation data and model predictions (Q2022037) (← links)
- Application of adaptive ANOVA and reduced basis methods to the stochastic Stokes-Brinkman problem (Q2027195) (← links)
- Poly-Sinc solution of stochastic elliptic differential equations (Q2028544) (← links)
- Uncertainty quantification for the random viscous Burgers' partial differential equation by using the differential transform method (Q2033035) (← links)
- Uncertainty quantification of spatially uncorrelated loads with a reduced-order stochastic isogeometric method (Q2039065) (← links)
- A splitting/polynomial chaos expansion approach for stochastic evolution equations (Q2044634) (← links)
- Approximation of probability density functions for PDEs with random parameters using truncated series expansions (Q2046192) (← links)
- Convergence of adaptive stochastic collocation with finite elements (Q2047614) (← links)
- Interval static analysis of multi-cracked beams with uncertain size and position of cracks (Q2049746) (← links)
- Sensitivity analysis of queueing models based on polynomial chaos approach (Q2053746) (← links)
- Stochastic discontinuous Galerkin methods with low-rank solvers for convection diffusion equations (Q2058395) (← links)
- Advanced computational technique based on kriging and Polynomial Chaos Expansion for structural stability of mechanical systems with uncertainties (Q2061435) (← links)
- Sensitivity analysis of the non-linear Fokker-Planck equations with uncertainty (Q2061616) (← links)
- Polynomial surrogates for Bayesian traveltime tomography (Q2062365) (← links)
- Probability transformation method for the evaluation of derivative, integral and Fourier transform of some stochastic processes (Q2062657) (← links)
- Response probability density function for non-bijective transformations (Q2074193) (← links)
- A mixed spectral treatment for the stochastic models with random parameters (Q2074228) (← links)
- A realizable filtered intrusive polynomial moment method (Q2075967) (← links)
- Quantify uncertainty by estimating the probability density function of the output of interest using MLMC based Bayes method (Q2083326) (← links)
- Learning ``best'' kernels from data in Gaussian process regression. With application to aerodynamics (Q2083686) (← links)
- Uncertainty quantification via \(\lambda\)-Neumann methodology of the stochastic bending problem of the Levinson-Bickford beam (Q2083761) (← links)
- Efficient aerodynamic analysis and optimization under uncertainty using multi-fidelity polynomial chaos-Kriging surrogate model (Q2084108) (← links)
- Model-based characterization of permeability damage control through inhibitor injection under parametric uncertainty (Q2085082) (← links)
- On expansions and nodes for sparse grid collocation of lognormal elliptic PDEs (Q2091288) (← links)
- A posteriori error estimation for the stochastic collocation finite element approximation of the heat equation with random coefficients (Q2091294) (← links)
- On surrogate learning for linear stability assessment of Navier-Stokes equations with stochastic viscosity. (Q2093340) (← links)
- GenMod: a generative modeling approach for spectral representation of PDEs with random inputs (Q2099749) (← links)
- A new method for estimating the bending stiffness curve of non-uniform Euler-Bernoulli beams using static deflection data (Q2109908) (← links)
- Bi-fidelity reduced polynomial chaos expansion for uncertainty quantification (Q2115584) (← links)
- Multi-frequency model reduction for uncertainty quantification in computational vibroacoutics (Q2115601) (← links)
- A Bayesian multiscale CNN framework to predict local stress fields in structures with microscale features (Q2115607) (← links)
- Computing the density function of complex models with randomness by using polynomial expansions and the RVT technique. Application to the SIR epidemic model (Q2120398) (← links)
- Analysis of geometric uncertainties in CFD problems solved by RBF-FD meshless method (Q2123743) (← links)
- A probabilistic generative model for semi-supervised training of coarse-grained surrogates and enforcing physical constraints through virtual observables (Q2124009) (← links)
- A two-stage variable-separation Kalman filter for data assimilation (Q2124027) (← links)
- Long duration response evaluation of linear structural system with random system properties using time dependent polynomial chaos (Q2124553) (← links)
- Conditional Karhunen-Loève expansion for uncertainty quantification and active learning in partial differential equation models (Q2124564) (← links)
- Flow-driven spectral chaos (FSC) method for simulating long-time dynamics of arbitrary-order non-linear stochastic dynamical systems (Q2124875) (← links)
- Optimal design for kernel interpolation: applications to uncertainty quantification (Q2124880) (← links)
- An adaptive hp-version stochastic Galerkin method for constrained optimal control problem governed by random reaction diffusion equations (Q2125889) (← links)
- Spectral convergence of probability densities for forward problems in uncertainty quantification (Q2126139) (← links)
- Nonlinear sparse Bayesian learning for physics-based models (Q2126972) (← links)
- Hyperbolicity-preserving and well-balanced stochastic Galerkin method for two-dimensional shallow water equations (Q2133577) (← links)
- Bayesian inversion using adaptive polynomial chaos kriging within subset simulation (Q2133745) (← links)
