Damage detection on crates of beverages by artificial neural networks trained with finite-element data.
type: Item
instance of: scholarly article
title: Damage detection on crates of beverages by artificial neural networks trained with finite-element data.
zbMATH Open document ID: 1060.74619
author: Jörg Zacharias
author: Christoph Hartmann
author: A. Delgado
published in: Computer Methods in Applied Mechanics and Engineering
publication date: 2004-05-27T00:00:00Z
Mathematics Subject Classification ID: 74R99
Mathematics Subject Classification ID: 74S05
Mathematics Subject Classification ID: 74S30
Mathematics Subject Classification ID: 92B20
Mathematics Subject Classification ID: 74H45
zbMATH DE Number: 2066540
zbMATH Keywords: Vibration analysis
zbMATH Keywords: mode shape analysis
zbMATH Keywords: frequency response spectra
describes a project that uses: Z88
MaRDI profile type: Publication
full work available at URL: j.cma.2003.10.009
OpenAlex ID: W2079280527
cites work: Global flexibility simulation and element stiffness simulation in finite element analysis with neural network
cites work: Detection of cracks using neural networks and computational mechanics
cites work: Neural crack identification in steady state elastodynamics
cites work: Structural damage detection using measured FRF data
cites work: Use of neural networks in detection of structural damage
cites work: Q4739096
cites work: Q4299740
DOI: 10.1016/J.CMA.2003.10.009
description: scientific article; zbMATH DE number 2066540