Digital Design strategies to certify and mAnufacture Robust cOmposite sTructures 

Informations projet

DIDEAROT

N° de convention de subvention: 101056682

DOI

10.3030/101056682

Date de signature de la CE 10 Mai 2022

Date de début 1 Septembre 2022

Date de fin 31 Août 2026

Financé au titre de

• Climate, Energy and Mobility

Coût total

€ 4 702 366,25

Contribution de l’UE

€ 4 702 365,00

Coordonné par

CENTRE DE RECHERCHE EN AERONAUTIQUE ASBL - CENAERO
Belgium

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (7)

Strategies for combining physics-based models and data-driven models

Analysis on how the proposed digital twin concept, further developed in WPs3 & 4, could be employed to optimize other lifecycle stages, and specifically MRO

Project Management Roadmap and procedures

Roadmap on the activities of the project and the different interactions with the WP at play. Definition of roles in the consortium for interactions between WP, with the Advisory board

Implemented optimized micro-mechanics and laminate models

Report on model to generate a mesoscopic homogenized response implemented and optimized for high-performance computing by BSC,

Data Requirements Specification Report

Requirements for data (type, sources, amount, standardization...) along the whole lifecycle including design, manufacturing, validation and testing to be included in the different simulations and modelling tasks

Data Management Plan

Data management plan for all the data generated through WP2 to WP5 in the project

Initial Dissemination and Exploitation Plan

Dissemination and exploitation plan discussed by the partners at kick-off with quantification of the impact in terms of quantity of activities and number of researchers, industrial & academic institutions contacted / impacted

Methodologies input data quality analysis

Report on the methodologies created that allow the quality of the input data to be analyzed so that it is possible to know a priori if suitable conditions to proceed with the analysis are fulfilled

Websites, patent fillings, videos etc. (2)

Organization of Workshop 1 (research community)

Organization of a dedicated workshop oriented towards the research community to communicate breakthroughs and results achieved throughout the project as well as perspectives for collaboration

Public website and social media account

Website accessible to the public and mentioned on linked-in account, beneficiary internet sites and communicated to the EU for general public information dissemination

Data sets, microdata, etc (2)

Synthetic dataset of meso-scale response from ULiège

Particularization and training of the ML based (different scales) surrogatemodels developed in Task 2.3 to the (different scales) damage models developed in Task 4.1. Developments made by ULiège

Synthetic dataset of meso-scale response from INEGI

Particularization and training of the ML based (different scales) surrogatemodels developed in Task 2.3 to the (different scales) damage models developed in Task 4.1. Developments made by INEGI

Other (2)

Surrogate model of the meso-scale response

ML-based surrogate of the meso-scale response accounting for loading history and damaging proces

Surrogate model of the laminate-scale response

ML-based surrogate of the failure envelope at the laminate leve

Publications

Peer reviewed articles (5)

Pressure-dependent strain gradient plasticity for micro-mechanical analyses of fibre-reinforced polymers

Auteurs: Igor A. Rodrigues Lopes, A. Francisca Carvalho Alves, Nathan Klavzer, Thomas Pardoen, Pedro P. Camanho
Publié dans: Composite Structures, Numéro 381, 2026, ISSN 0263-8223
Éditeur: Elsevier BV
DOI: 10.1016/J.COMPSTRUCT.2025.119965

A mold compensation method using spectral shape representation

Auteurs: S. Zein, A. Parmentier, D. Dumas
Publié dans: Composite Structures, Numéro 370, 2025, ISSN 0263-8223
Éditeur: Elsevier BV
DOI: 10.1016/J.COMPSTRUCT.2025.119325

Stochastic deep material networks as efficient surrogates for stochastic homogenisation of non-linear heterogeneous materials

Auteurs: Ling Wu, Ludovic Noels
Publié dans: Computer Methods in Applied Mechanics and Engineering, Numéro 441, 2025, ISSN 0045-7825
Éditeur: Elsevier BV
DOI: 10.2139/SSRN.5137186

Unveiling interrelations among material properties of polymer composite laminates

Auteurs: Erdem Dinler, Igor A. Rodrigues Lopes, Carolina Furtado, Pedro P. Camanho
Publié dans: Journal of Composite Materials, 2025, ISSN 0021-9983
Éditeur: SAGE Publications
DOI: 10.1177/00219983251361205

Computer Methods in Applied Mechanics and Engineering

Auteurs: Ling Wu, Ludovic Noels
Publié dans: Computer Methods in Applied Mechanics and Engineering, Numéro 424, 2024, ISSN 0045-7825
Éditeur: Elsevier B.V.
DOI: 10.2139/ssrn.4659520

Conference proceedings (1)

A High-Fidelity HPC Workflow for Predicting Process-Induced Distortions in Composites Using Surrogate Models

Auteurs: M. Teixidor-Vilarrasa, A. Quintanas-Corominas, A. Ortega, I. Zárate, E. Marquinez, I. Otero and G. Guillamet
Publié dans: Materiales Compuestos
Éditeur: scipedia