The stochastic finite element method: past, present and future

G Stefanou - Computer methods in applied mechanics and …, 2009 - Elsevier
A powerful tool in computational stochastic mechanics is the stochastic finite element
method (SFEM). SFEM is an extension of the classical deterministic FE approach to the …

Uncertainty quantification of microstructures: a perspective on forward and inverse problems for mechanical properties of aerospace materials

MM Billah, M Elleithy, W Khan, S Yıldız… - Advanced …, 2024 - Wiley Online Library
In this review, state‐of‐the‐art studies on the uncertainty quantification (UQ) of
microstructures in aerospace materials is examined, addressing both forward and inverse …

Pore-scale simulation of fluid flow and solute dispersion in three-dimensional porous media

M Icardi, G Boccardo, DL Marchisio, T Tosco, R Sethi - Physical review E, 2014 - APS
In the present work fluid flow and solute transport through porous media are described by
solving the governing equations at the pore scale with finite-volume discretization. Instead of …

A universal approximation of grain size from images of noncohesive sediment

D Buscombe, DM Rubin… - Journal of Geophysical …, 2010 - Wiley Online Library
The two‐dimensional spectral decomposition of an image of sediment provides a direct
statistical estimate, grid‐by‐number style, of the mean of all intermediate axes of all single …

Computational nonlinear stochastic homogenization using a nonconcurrent multiscale approach for hyperelastic heterogeneous microstructures analysis

A Clément, C Soize, J Yvonnet - International Journal for …, 2012 - Wiley Online Library
This paper is devoted to the computational nonlinear stochastic homogenization of a
hyperelastic heterogeneous microstructure using a nonconcurrent multiscale approach. The …

A translation model for non-stationary, non-Gaussian random processes

FJ Ferrante, SR Arwade, LL Graham-Brady - Probabilistic engineering …, 2005 - Elsevier
A model for simulation of non-stationary, non-Gaussian processes based on non-linear
translation of Gaussian random vectors is presented. This method is a generalization of …

Tessellation growth models for polycrystalline microstructures

K Teferra, L Graham-Brady - Computational Materials Science, 2015 - Elsevier
This work proposes novel models to represent and parametrize random morphology of
polycrystalline microstructures. The reliability of high-fidelity mechanical analysis of …

On optimization techniques to reconstruct microstructures of random heterogeneous media

E Patelli, G Schuëller - Computational Materials Science, 2009 - Elsevier
In recent years, a tremendous increase in the applications of composite materials has been
observed. The variability in their composition dramatically affects their overall properties …

General simulation algorithm for autocorrelated binary processes

F Serinaldi, F Lombardo - Physical Review E, 2017 - APS
The apparent ubiquity of binary random processes in physics and many other fields has
attracted considerable attention from the modeling community. However, generation of …

Advances in the simulation and automated measurement of well‐sorted granular material: 2. Direct measures of particle properties

D Buscombe, DM Rubin - Journal of Geophysical Research …, 2012 - Wiley Online Library
In this, the second of a pair of papers on the structure of well‐sorted natural granular
material (sediment), new methods are described for automated measurements from images …