An iterative Bayesian filtering framework for fast and automated calibration of DEM models
type: Item
instance of: scholarly article
title: An iterative Bayesian filtering framework for fast and automated calibration of DEM models
zbMATH Open document ID: 1441.74233
author: Hongyang Cheng
author: Takayuki Shuku
author: Klaus Thoeni
author: Pamela Tempone
author: V. Magnanimo
author: S. Luding
published in: Computer Methods in Applied Mechanics and Engineering
publication date: 2020-04-16T00:00:00Z
Mathematics Subject Classification ID: 74S05
Mathematics Subject Classification ID: 65N21
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 74E20
zbMATH DE Number: 7189828
zbMATH Keywords: iterative parameter estimation
zbMATH Keywords: sequential Monte Carlo
zbMATH Keywords: Dirichlet process mixture model
zbMATH Keywords: discrete element method
zbMATH Keywords: X-ray tomography
zbMATH Keywords: cyclic oedometric compression
describes a project that uses: Pi4U
describes a project that uses: MorphoLibJ
describes a project that uses: PRMLT
describes a project that uses: Scikit
MaRDI profile type: Publication
full work available at URL: j.cma.2019.01.027
OpenAlex ID: W2922328534
cites work: A two-scale model of granular materials
cites work: A pore-scale method for hydromechanical coupling in deformable granular media
cites work: A Simple Multiscale Model for Granular Soils with Geosynthetic Inclusion
cites work: Robust optimization - a comprehensive survey
cites work: Bayesian uncertainty quantification and propagation for discrete element simulations of granular materials
cites work: \(\Pi\)4U: a high performance computing framework for Bayesian uncertainty quantification of complex models
cites work: A Bayesian framework for adaptive selection, calibration, and validation of coarse-grained models of atomistic systems
cites work: Calibration and validation of coarse-grained models of atomic systems: application to semiconductor manufacturing
cites work: An iterative particle filter approach for coupled hydro-geophysical inversion of a controlled infiltration experiment
cites work: Particle Smoothing for Hidden Diffusion Processes: Adaptive Path Integral Smoother
cites work: Adaptive importance sampling for control and inference
cites work: Virtual model validation of complex multiscale systems: applications to nonlinear elastostatics
cites work: Adaptive selection and validation of models of complex systems in the presence of uncertainty
cites work: An algorithm to generate random dense arrangements for discrete element simulations of granular assemblies
cites work: Bayesian filtering and smoothing
cites work: Sequential Monto Carlo techniques for the solution of linear systems
cites work: Sequential Quasi Monte Carlo
cites work: Q2753032
cites work: Variational inference for Dirichlet process mixtures
cites work: Q5483032
cites work: Bayesian Inference for Linear Dynamic Models With Dirichlet Process Mixtures
cites work: A Bayesian analysis of some nonparametric problems
cites work: Q4839399
cites work: Q5396710
cites work: Evolutionary optimization of low-discrepancy sequences
cites work: Towards stochastic discrete element modelling of spherical particles with surface roughness: a normal interaction law
Wikidata QID: Q128277152
DOI: 10.1016/J.CMA.2019.01.027
description: scientific article; zbMATH DE number 7189828