Micro-mechanics and data-driven based reduced order models for multi-scale analyses of woven composites

[en] Order reduction of woven composite materials is based on the definition of short fibres reinforced matrix material pseudo-grains completed by pure matrix parts. The former ones model the curved yarns, which are assimilated to continuous fibre reinforced matrix materials, in woven composites, and the latter ones model the matrix response. The homogenisation is achieved by recursively using micro-mechanics models, such as mean-field homogenisation and Voigt’s rule of mixture, and on the laminate theory. The pseudo-grains number and micro-structural features such as orientation, aspect ratio and volume fraction are considered as the Reduced Order Model (ROM) parameters and are identified following the approach of Deep Material Network (DMN): a set of homogenised elasticity tensors evaluated by computational homogenisation of woven unit-cells is used as training data in order to identify the topological parameters of the ROM. Once the topological parameters are identified, the proposed ROM can be used to conduct nonlinear analyses of woven composites. The accuracy and efficiency of the proposed ROM have been verified by comparing the predictions with direct numerical simulations on two different woven unit cells.

Research center :

A&M - Aérospatiale et Mécanique - ULiège

Disciplines :

Materials science & engineering
Mechanical engineering

Author, co-author :

Wu, Ling ; Université de Liège - ULiège > Département d'aérospatiale et mécanique > Computational & Multiscale Mechanics of Materials (CM3)

Adam, Laurent; MSC Software Belgium SA (e-Xstream engineering)

Noels, Ludovic ; Université de Liège - ULiège > Département d'aérospatiale et mécanique > Computational & Multiscale Mechanics of Materials (CM3)

Language :

English

Title :

Micro-mechanics and data-driven based reduced order models for multi-scale analyses of woven composites

Publication date :

15 August 2021

Journal title :

Composite Structures

ISSN :

0263-8223

eISSN :

1879-1085

Publisher :

Elsevier, Netherlands

Volume :

270

Pages :

114058

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://doi.org/10.5281/zenodo.4718641

Name of the research project :

The research has been funded by the Walloon Region under the agreement no.7911-VISCOS in the context of the 21st SKYWIN call.

Funders :

Service public de Wallonie Économie, Emploi, Recherche: Direction générale opérationnelle de l'économie, de l'emploi et de la recherche

Available on ORBi :

since 11 May 2021

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