Complexity science of multiscale materials via stochastic computations
DOI10.1002/nme.2578zbMath1176.74058OpenAlexW2051161463MaRDI QIDQ3649917
Wing Kam Liu, Jae Boong Choi, Gregory B. Olson, Dockjin Lee, Yoon-Suk Chang, Xiaolei Yin, Larbi Siad, Sang Hoon Lee, Rong Tian, Stephanie Chan, Lars-Erik Lindgren, Wei Chen, Young-Jin Kim, Mark F. Horstemeyer
Publication date: 7 December 2009
Published in: International Journal for Numerical Methods in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/nme.2578
variabilityuncertaintymodelingdamagecalibrationfailurereconstructionmaterialmorphologystochasticrealizationBayesianprobabilisticDNSvalidationheterogeneousscaleRVEductileMRCT
Composite and mixture properties (74E30) Stochastic and other probabilistic methods applied to problems in solid mechanics (74S60)
Related Items (15)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A better understanding of model updating strategies in validating engineering models
- Multi-scale constitutive model and computational framework for the design of ultra-high strength, high toughness steels
- Error in Monte Carlo, quasi-error in quasi-Monte Carlo
- A micromorphic model for the multiple scale failure of heterogeneous materials
- Multiresolution modeling of ductile reinforced brittle composites
- Materials integrity in microsystems: a framework for a petascale predictive-science-based multiscale modeling and simulation system
- A finite temperature continuum theory based on interatomic potential in crystalline solids
- Multiple time scale method for atomistic simulations
- Model validation and predictive capability for the thermal challenge problem
- Statistical volume element method for predicting microstructure-constitutive property relations
- Probabilistic equivalence and stochastic model reduction in multiscale analysis
- Linking microstructure and properties through a predictive multiresolution continuum
- Concurrent quantum/continuum coupling analysis of nanostructures
- Multi-scale micromorphic theory for hierarchical materials
- On criteria for dynamic adiabatic shear band propagation
- Probabilistic finite elements for nonlinear structural dynamics
- On the role of gradients in the localization of deformation and fracture
- Numerical integration using sparse grids
- Coupling of atomistic and continuum simulations using a bridging scale decomposition.
- Dimension-adaptive tensor-product quadrature
- Determination of the size of the representative volume element for random composites: Statistical and numerical approach.
- Cosserat modelling of size effects in the mechanical behaviour of polycrystals and multi-phase materials
- Representative volume element size for elastic composites: A numerical study
- Order relationships for boundary conditions effect in heterogeneous bodies smaller than the representative volume
- A numerical method for computing the overall response of nonlinear composites with complex microstructure
- Modeling uncertainty in flow simulations via generalized polynomial chaos.
- Bridging scale methods for nanomechanics and materials
- Multiresolution analysis for material design
- Prediction of central bursting during axisymmetric cold extrusion of a metal alloy containing particles
- Elastic properties of reinforced solids: Some theoretical principles
- Three‐dimensional stochastic finite element method for elasto‐plastic bodies
- Bayesian Calibration of Computer Models
- Multi-Element Generalized Polynomial Chaos for Arbitrary Probability Measures
- Maximum likelihood estimation of stochastic chaos representations from experimental data
- Introduction to Micromechanics and Nanomechanics
- Random field finite elements
- Algorithm 726: ORTHPOL–a package of routines for generating orthogonal polynomials and Gauss-type quadrature rules
- Physical Systems with Random Uncertainties: Chaos Representations with Arbitrary Probability Measure
- Maximum entropy in the generalized moment problem
- Reproducing kernel particle methods for structural dynamics
- Reproducing kernel particle methods
This page was built for publication: Complexity science of multiscale materials via stochastic computations