Microstructurally-informed stochastic inhomogeneity of material properties and material symmetries in 3D-printed 316 L stainless steel

DOI10.1007/S00466-023-02424-6MaRDI QIDQ6584864

Colin Stewart, Patrick J. Callahan, Shanshan Chu, J. Guilleminot, John G. Michopoulos, John C. Steuben, Andrew Birnbaum, David Rowenhorst, Athanasios Iliopoulos

Publication date: 8 August 2024

Published in: (Search for Journal in Brave)

zbMATH Keywords

stochastic modelingrandom fieldmaterial symmetryuncertainty quantificationadditive manufacturing

Mathematics Subject Classification ID

Mechanics of deformable solids (74-XX)

Cites Work

• Title not available (Why is that?)
• 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
• The Bayesian formulation of EIT: analysis and algorithms
• On the statistical dependence for the components of random elasticity tensors exhibiting material symmetry properties
• Whittle-Matérn priors for Bayesian statistical inversion with applications in electrical impedance tomography
• Spatial models generated by nested stochastic partial differential equations, with an application to global ozone mapping
• Hyperpriors for Matérn fields with applications in Bayesian inversion
• The closest elastic tensor of arbitrary symmetry to an elasticity tensor of lower symmetry
• Mitigating the influence of the boundary on PDE-based covariance operators
• A random field formulation of Hooke's law in all elasticity classes
• Stochastic modeling and identification of material parameters on structures produced by additive manufacturing
• A random field model for anisotropic strain energy functions and its application for uncertainty quantification in vascular mechanics
• Non-Gaussian positive-definite matrix-valued random fields for elliptic stochastic partial differential operators
• Tensor- and spinor-valued random fields with applications to continuum physics and cosmology
• Machine learning-enabled self-consistent parametrically-upscaled crystal plasticity model for Ni-based superalloys
• Microstructure models and material response by extreme value theory
• Stochastic Model and Generator for Random Fields with Symmetry Properties: Application to the Mesoscopic Modeling of Elastic Random Media
• Handbook of Uncertainty Quantification
• Spectral Expansion of Three-Dimensional Elasticity Tensor Random Fields
• Exploring a New Class of Non-stationary Spatial Gaussian Random Fields with Varying Local Anisotropy
• Information Theory and Statistical Mechanics
• A Bounded Random Matrix Approach for Stochastic Upscaling
• Spectral Methods for Uncertainty Quantification
• Fourth-rank tensors of the thirty-two crystal classes: multiplication tables
• Multivariate Type G Matérn Stochastic Partial Differential Equation Random Fields
• A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis
• Itô SDE--based Generator for a Class of Non-Gaussian Vector-valued Random Fields in Uncertainty Quantification
• Analysis of Boundary Effects on PDE-Based Sampling of Whittle--Matérn Random Fields
• Microstructural Randomness and Scaling in Mechanics of Materials
• ON STATIONARY PROCESSES IN THE PLANE
• Stochastic multiscale modeling of crack propagation in random heterogeneous media

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