File(s) under permanent embargo

Machine learning assisted characterisation and simulation of compressive damage in composite laminates

Version 2 2024-06-05, 04:53

Version 1 2021-09-13, 08:23

journal contribution

posted on 2024-06-05, 04:53 authored by Johannes ReinerJohannes Reiner, R Vaziri, N Zobeiry

Machine learning assisted characterisation and simulation of compressive damage in composite laminates

History

Journal

Composite Structures

Volume

273

Article number

ARTN 114290

Pagination

1 - 11

Location

Amsterdam, The Netherlands

Publisher DOI

https://doi.org/10.1016/j.compstruct.2021.114290

ISSN

0263-8223

eISSN

1879-1085

Language

English

Author URL

http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000685080500003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

Publication classification

C1 Refereed article in a scholarly journal

Publisher

ELSEVIER SCI LTD

Usage metrics

Categories

No categories selected

Keywords

Science & Technology Technology Mechanics Materials Science, Composites Materials Science Damage characterisation Finite element analysis Continuum damage mechanics Machine learning FIBER-REINFORCED COMPOSITES FAILURE MECHANISMS STRENGTH 4016 Materials engineering 4017 Mechanical engineering

Licence

All Rights Reserved

Exports

RefWorks

BibTeX

Ref. manager

Endnote

DataCite

NLM

DC