Finite elements for Matérn-type random fields: uncertainty in computational mechanics and design optimization
DOI10.1016/J.CMA.2024.117146MaRDI QIDQ6588299
Tobias Duswald, Brendan Keith, Barbara Wohlmuth, Boyan Stefanov Lazarov, Socratis Petrides
Publication date: 15 August 2024
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Finite element methods applied to problems in solid mechanics (74S05) Optimization of other properties in solid mechanics (74P10) Stochastic and other probabilistic methods applied to problems in solid mechanics (74S60)
Cites Work
- An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
- The Rational SPDE Approach for Gaussian Random Fields With General Smoothness
- On projection methods, convergence and robust formulations in topology optimization
- A new level-set based approach to shape and topology optimization under geometric uncertainty
- Topology optimization considering material and geometric uncertainties using stochastic collocation methods
- Parallel framework for topology optimization using the method of moving asymptotes
- Robust topology optimization accounting for spatially varying manufacturing errors
- Robust topology optimization under loading uncertainty based on linear elastic theory and orthogonal diagonalization of symmetric matrices
- Numerically solving an equation for fractional powers of elliptic operators
- Fractional powers of closed operators and the semigroups generated by them
- Isotropic Gaussian random fields on the sphere: regularity, fast simulation and stochastic partial differential equations
- \textit{BoomerAMG}: A parallel algebraic multigrid solver and preconditioner
- An efficient, high-order perturbation approach for flow in random porous media via Karhunen-Loève and polynomial expansions.
- Material interpolation schemes in topology optimization
- Fast random field generation with \(H\)-matrices
- Generalized harmonic analysis.
- Korrelationstheorie der stationären stochastischen Prozesse
- Advances in Gaussian random field generation: a review
- A primal-dual algorithm for risk minimization
- MFEM: a modular finite element methods library
- What is the fractional Laplacian? A comparative review with new results
- Maximum length scale in density based topology optimization
- Risk-averse structural topology optimization under random fields using stochastic expansion methods
- On sinc quadrature approximations of fractional powers of regularly accretive operators
- Tensor FEM for spectral fractional diffusion
- A numerical study of the homogeneous elliptic equation with fractional boundary conditions
- Robust shape optimization of continuous structures via the level set method
- Karhunen-Loève approximation of random fields by generalized fast multipole methods
- Exponential convergence of \textit{hp} FEM for spectral fractional diffusion in polygons
- Statistically equivalent surrogate material models: impact of random imperfections on the elasto-plastic response
- Risk-averse design of tall buildings for uncertain wind conditions
- Filters in topology optimization
- Geometrical Structure of Laplacian Eigenfunctions
- Filters in topology optimization based on Helmholtz-type differential equations
- Topology optimization with geometric uncertainties by perturbation techniques
- Spatial Matérn Fields Driven by Non-Gaussian Noise
- Geostatistical Modelling Using Non-Gaussian Matérn Fields
- Fast simulation of Gaussian random fields
- A fractional PDE model for turbulent velocity fields near solid walls
- Hemodynamics of Cerebral Aneurysms
- An Effective Fluid-Structure Interaction Formulation for Vascular Dynamics by Generalized Robin Conditions
- Spectral Methods for Uncertainty Quantification
- The method of moving asymptotes—a new method for structural optimization
- The spatial structure of neutral atmospheric surface-layer turbulence
- Fast and Exact Simulation of Stationary Gaussian Processes through Circulant Embedding of the Covariance Matrix
- Adaptive Sampling Strategies for Stochastic Optimization
- Analysis of Circulant Embedding Methods for Sampling Stationary Random Fields
- $hp$-Finite Elements for Fractional Diffusion
- Optimal Control of PDEs under Uncertainty
- Algebraic multigrid methods
- Efficient White Noise Sampling and Coupling for Multilevel Monte Carlo with Nonnested Meshes
- Positive Approximations of the Inverse of Fractional Powers of SPD M-Matrices
- A BLOCK CIRCULANT EMBEDDING METHOD FOR SIMULATION OF STATIONARY GAUSSIAN RANDOM FIELDS ON BLOCK-REGULAR GRIDS
- Surface Finite Element Approximation of Spherical Whittle--Matérn Gaussian Random Fields
- A Statistical Framework for Generating Microstructures of Two-Phase Random Materials: Application to Fatigue Analysis
- Analysis of Boundary Effects on PDE-Based Sampling of Whittle--Matérn Random Fields
- Preconditioning
- Numerical approximation of fractional powers of elliptic operators
- Achieving minimum length scale in topology optimization using nodal design variables and projection functions
- Restricted delaunay triangulations and normal cycle
- An Extension Problem Related to the Fractional Laplacian
- Risk-Averse PDE-Constrained Optimization Using the Conditional Value-At-Risk
- The AAA Algorithm for Rational Approximation
- ON STATIONARY PROCESSES IN THE PLANE
- Efficient generation of conditional simulations by Chebyshev matrix polynomial approximations to the symmetric square root of the covariance matrix
- Moving averages for Gaussian simulation in two and three dimensions
- General joint conditional simulations using a fast Fourier transform method
- Random heterogeneous materials. Microstructure and macroscopic properties
- An adaptive sampling augmented Lagrangian method for stochastic optimization with deterministic constraints
- Numerical methods for fractional diffusion
- Solving time-fractional differential equations via rational approximation
- Stochastic PDE representation of random fields for large-scale Gaussian process regression and statistical finite element analysis
- Adaptive sampling strategies for risk-averse stochastic optimization with constraints
- Scalable parallel scheme for sampling of Gaussian random fields over very large domains
- Numerical approximation of Gaussian random fields on closed surfaces
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