Bayesian uncertainty quantification and propagation for discrete element simulations of granular materials
type: Item
instance of: scholarly article
title: Bayesian uncertainty quantification and propagation for discrete element simulations of granular materials
zbMATH Open document ID: 1423.74956
author: Peng Zhang
published in: Computer Methods in Applied Mechanics and Engineering
publication date: 2018-08-29T00:00:00Z
Mathematics Subject Classification ID: 74S30
Mathematics Subject Classification ID: 76M25
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62P35
Mathematics Subject Classification ID: 74E20
Mathematics Subject Classification ID: 76T25
zbMATH DE Number: 6928759
zbMATH Keywords: uncertainty quantification
zbMATH Keywords: Bayesian model selection
zbMATH Keywords: discrete element method
zbMATH Keywords: contact force models
zbMATH Keywords: granular flow
describes a project that uses: TORC
MaRDI profile type: Publication
full work available at URL: j.cma.2014.07.017
OpenAlex ID: W2042269668
cites work: Large scale industrial DEM modelling
cites work: GENERAL DIFFUSE-INTERFACE THEORIES AND AN APPROACH TO PREDICTIVE TUMOR GROWTH MODELING
cites work: A stochastic mixed finite element heterogeneous multiscale method for flow in porous media
cites work: Q5810374
cites work: Q5726065
cites work: Sequential Monte Carlo Methods in Practice
cites work: PRIOR AND POSTERIOR ROBUST STOCHASTIC PREDICTIONS FOR DYNAMICAL SYSTEMS USING PROBABILITY LOGIC
Wikidata QID: Q59760454
DOI: 10.1016/J.CMA.2014.07.017
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description: scientific article; zbMATH DE number 6928759