Multiple parameter determination in textile material design: a Bayesian inference approach based on simulation
type: Item
instance of: scholarly article
title: Multiple parameter determination in textile material design: a Bayesian inference approach based on simulation
author: Dinghua Xu
author: Yangao He
author: Yue Yu
author: Qifeng Zhang
published in: Mathematics and Computers in Simulation
publication date: 2021-03-01T00:00:00Z
Mathematics Subject Classification ID: 80Mxx
Mathematics Subject Classification ID: 34Axx
Mathematics Subject Classification ID: 80Axx
zbMATH DE Number: 7316240
zbMATH Keywords: inverse problems
zbMATH Keywords: Bayesian inference method
zbMATH Keywords: textile material design
zbMATH Keywords: coupled heat-moisture transfer model
zbMATH Keywords: parameters determination
MaRDI profile type: Publication
full work available at URL: j.matcom.2018.04.001
OpenAlex ID: W2797941972
cites work: Q4073917
cites work: Moisture transport in fibrous clothing assemblies
cites work: Nonstationary inverse problems and state estimation
cites work: Indirect inference in fractional short-term interest rate diffusions
cites work: Approximation of the likelihood function in the Bayesian technique for the solution of inverse problems
cites work: Estimation of parameters in multi-mode heat transfer problems using Bayesian inference - effect of noise and a priori
cites work: On Fréchet differentiability of Lipschitz maps between Banach spaces
cites work: Q4828566
cites work: Inverse problems: a Bayesian perspective
cites work: A Bayesian inference approach to the inverse heat conduction problem
cites work: Using Bayesian statistics in the estimation of heat source in radiation
cites work: Thickness determination in textile material design: dynamic modeling and numerical algorithms
cites work: A new inverse problem for the determination of textile fabrics thickness
DOI: 10.1016/J.MATCOM.2018.04.001
Recommended article: Estimating fibres' material parameter distributions from limited data with the help of Bayesian inference
Recommended article: Multiscale modelling and material design of woven textiles using Gaussian processes
Recommended article: Bayesian methods for characterizing unknown parameters of material models
Recommended article: Multi-scale modelling strategy for textile composites based on stochastic reinforcement geometry
Recommended article: Thickness determination in textile material design: dynamic modeling and numerical algorithms
Recommended article: Multiscale constitutive modeling and numerical simulation of fabric material
Recommended article: An intelligent multi-criteria optimization method for quick and market-oriented textile material design
Recommended article: Optimization of textile-like materials via homogenization and beam approximations
Recommended article: Towards an efficient two-scale approach to model technical textiles
Recommended article: A novel Bayesian strategy for the identification of spatially varying material properties and model validation: an application to static elastography
description: scientific article; zbMATH DE number 7316240