• français
    • English
    français
  • Login
Help
View Item 
  •   Home
  • Laboratoire d'Etude des Microstructures et de Mécanique des Matériaux (LEM3)
  • View Item
  • Home
  • Laboratoire d'Etude des Microstructures et de Mécanique des Matériaux (LEM3)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Multiparametric modelling of composite materials based on non-intrusive PGD informed by multiscale analyses: Application for real-time stiffness prediction of woven composites

Article dans une revue avec comité de lecture
Author
EL FALLAKI IDRISSI, Mohammed
178323 Laboratoire d'Etude des Microstructures et de Mécanique des Matériaux [LEM3]
PRAUD, Francis
178323 Laboratoire d'Etude des Microstructures et de Mécanique des Matériaux [LEM3]
CHAMPANEY, Victor
86289 Laboratoire Procédés et Ingénierie en Mécanique et Matériaux [PIMM]
CHINESTA, Francisco
86289 Laboratoire Procédés et Ingénierie en Mécanique et Matériaux [PIMM]
MERAGHNI, Fodil
178323 Laboratoire d'Etude des Microstructures et de Mécanique des Matériaux [LEM3]

URI
http://hdl.handle.net/10985/22637
DOI
10.1016/j.compstruct.2022.116228
Date
2022-09
Journal
Composite Structures

Abstract

In this paper, a multiparametric solution of the stiffness properties of woven composites involving several microstructure parameters is performed. For this purpose, non-intrusive PGD-based methods are employed. From offline pre-computed solutions generated through a full-field multiscale modeling, the proposed method approximates the multidimensional solution as a sum of products of one-dimensional functions each depending on a single variable. The present work aims at providing an accurate approximation of this multiparametric solution with lower computational cost for dataset generation. Thus, a comparative analysis of three non-intrusive PGD formulations (SSL, s-PGD and ANOVA-PGD) is carried out. The obtained results reveal and demonstrate that the ANOVA-PGD model works well for approximating the stiffness properties over the entire parameter space, i.e., along its boundary as well as inside it, by using only few pre-computed high-fidelity solutions. Finally, a GUI application is developed to exploit this multiparametric solution by incorporating other composite weave architectures. This application could be easily used by engineers and composite designers, to deduce, in real-time, the macroscopic properties of woven composite for a given set of microstructural parameters by simply varying the cursors and without any microstructure generation and meshing nor FE computations using periodic homogenization.

Files in this item

Name:
LEM3_COST_2022_MERAGHNI.pdf
Size:
4.529Mb
Format:
PDF
Embargoed until:
2023-03-01
View/Open

Collections

  • Laboratoire d'Etude des Microstructures et de Mécanique des Matériaux (LEM3)
  • Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM)

Related items

Showing items related by title, author, creator and subject.

  • Three-dimensional FE2 method for the simulation of non-linear, rate-dependent response of composite structures 
    Article dans une revue avec comité de lecture
    TIKARROUCHINE, El-Hadi; CHATZIGEORGIOU, George; PRAUD, Francis; PIOTROWSKI, Boris; CHEMISKY, Yves; MERAGHNI, Fodil (Elsevier, 2018)
    In this paper, a two scale Finite Element method (FE2 ), is presented to predict the non-linear macroscopic response of 3D composite structures with periodic microstructure that exhibit a time-dependent response. The ...
  • Modéliation multi-échelle non-linéaire par homogénéisation périodique et analyses par EF2 : application aux composites à matrice elastoviscoplastique endommageable 
    Conférence invitée
    TIKARROUCHINE, El-Hadi; PRAUD, Francis; CHATZIGEORGIOU, George; PIOTROWSKI, Boris; CHEMISKY, Yves; MERAGHNI, Fodil (2017)
    Dans ce papier, une technique de modélisation multi-échelle (EF2) basée sur le principe d’homogénéisation périodique a été développée pour décrire le comportement des structures composites 3D avec un comportement ...
  • Learning data-driven reduced elastic and inelastic models of spot-welded patches 
    Article dans une revue avec comité de lecture
    REILLE, Agathe; CHAMPANEY, Victor; DAIM, Fatima; TOURBIER, Yves; HASCOET, Nicolas; GONZALEZ, David; CUETO, Elias; DUVAL, Jean Louis; CHINESTA, Francisco (EDP Sciences, 2021)
    Solving mechanical problems in large structures with rich localized behaviors remains a challenging issue despite the enormous advances in numerical procedures and computational performance. In particular, these localized ...
  • Parametric analysis and machine learning-based parametric modeling of wire laser metal deposition induced porosity 
    Article dans une revue avec comité de lecture
    LOREAU, Tanguy; CHAMPANEY, Victor; HASCOET, Nicolas; LAMBARRI, Jon; MADARIETA, Mikel; GARMENDIA, Iker; CHINESTA, Francisco (Springer Science and Business Media LLC, 2022-04)
    Additive manufacturing is an appealing solution to produce geometrically complex parts, difficult to manufacture using traditional technologies. The extreme process conditions, in particular the high temperature, complex ...
  • Engineering empowered by physics-based and data-driven hybrid models: A methodological overview 
    Article dans une revue avec comité de lecture
    CHAMPANEY, Victor; CHINESTA, Francisco; CUETO, Elias (Springer Science and Business Media LLC, 2022-04-05)
    Smart manufacturing implies creating virtual replicas of the processing operations, taking into account the material dimension and its multi-physics transformation when forming processes operate. Performing efficient, that ...

Browse

All SAMCommunities & CollectionsAuthorsIssue DateCenter / InstitutionThis CollectionAuthorsIssue DateCenter / Institution

Newsletter

Latest newsletterPrevious newsletters

Statistics

Most Popular ItemsStatistics by CountryMost Popular Authors

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales