Multiscale Analysis of AiRframe Structures and Quantification of UncErtaintieS System

Informations projet

MARQUESS

N° de convention de subvention: 754581

DOI

10.3030/754581

Projet clôturé

Date de signature de la CE 16 Mai 2017

Date de début 1 Juin 2017

Date de fin 31 Mai 2021

Financé au titre de

• SOCIETAL CHALLENGES - Smart, Green And Integrated Transport

Coût total

€ 797 231,25

Contribution de l’UE

€ 797 231,25

Coordonné par

THE UNIVERSITY OF NOTTINGHAM
United Kingdom

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 (3)

Dissemination and Exploitation Plan

A Dissemination and Exploitation Plan will be developed early in the project and will be reported against in the interim and final reports to ensure progress against the plan.

Review of the state of the art regarding multi-scale methods

This deliverable consists of a review of the state of the art regarding multi-scale methods, for application to typical sub-assemblies of multifunctional fuselage and large aircraft, from components

Document describing sources of modelling uncertainties

Document describing sources of modelling uncertainties in predictive virtual simulation of aerospace structures, their potential impact on the accuracy results and ranking in terms of priority for performing uncertainty quantification within a virtual testing context; additionally a sensitivity ranking for idealisation rules, the aim is to understand the margin of error we introduce by derogating from a specific idealisation rule.

Demonstrators, pilots, prototypes (1)

Delivery of meso and macro-scale strategies & new multi-scale framework

Delivery of meso and macro-scale strategies, with particular focus on meso/macro, hot spot criteria list and their respective definition & new multi-scale framework consisting of: - Report on approach taken and structure of software - Models used for testing and validation including input data and results of preliminary system tests - Online repository containing software tools (including source code) forming the new framework - User manual containing instructions and examples of use.

Other (1)

Uncertainty quantification & Management tool

Uncertainty quantification Management tool will be demonstrated to provide the Topic Manager with a good set of initial results to be further developed in the project The UQ tool will have the capability for the future to plug different sensitivity methodologies

Publications

Conference proceedings (3)

A Computationally Efficient Approach for Analysing the Onset of Failure in Aerospace Composite Structures

Auteurs: X. Zou, S. Yan1, J.P. Rouse, I.A.Jones, M. Hamadi and M. Fouinneteau
Publié dans: 2019
Éditeur: ICCM22 - 22nd International Conference on Composite Materials 2019

The Identification of Failure Initiation Hotspots in Idealised Composite Material Component Models Using a “Bottom-Up Database” Method

Auteurs: Zou, X.; Yan, S.; Rouse, J.; Matveev, M.; Li, S.; Jones, I. A.; Hamadi, M.; Fouinneteau, M.
Publié dans: Proceedings of 18th European Conference on Composite Materials, Numéro Jun 24, 2018, 2018, ISBN 9781-510896932
Éditeur: European Society for Composite Materials

Bayesian Reconstruction of Goal Orientated Error Fields in Large Aerospace Finite Element Models

Auteurs: Bonney, Matthew S.; Evans, Richard; Rouse, James; Jones, Arthur; Hamadi, Maxime
Publié dans: Proceedings of AerospaceEurope Conference 2020, 2020
Éditeur: AEC 2020

Peer reviewed articles (4)

Goal oriented error estimation in multi-scale shell element finite element problems

Auteurs: Matthew S. Bonney, Richard Evans, James Rouse, Arthur Jones, Pierre Kerfriden, Maxime Hamadi
Publié dans: Advanced Modeling and Simulation in Engineering Sciences, Numéro 8/1, 2021, ISSN 2213-7467
Éditeur: Advanced Modeling and Simulation in Engineering Sciences
DOI: 10.1186/s40323-021-00189-2

An Abaqus plugin for efficient damage initiation hotspot identification in large-scale composite structures with repeated features

Auteurs: Xi Zou, Shibo Yan, Mohammad Reza Ilkhani, Louise Brown, Arthur Jones, Maxime Hamadi
Publié dans: Advances in Engineering Software, Numéro 153, 2021, Page(s) 102964, ISSN 0965-9978
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.advengsoft.2020.102964

An efficient multiscale surrogate modelling framework for composite materials considering progressive damage based on artificial neural networks

Auteurs: Shibo Yan, Xi Zou, Mohammad Ilkhani, Arthur Jones
Publié dans: Composites Part B: Engineering, Numéro 194, 2020, Page(s) 108014, ISSN 1359-8368
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.compositesb.2020.108014

Experimental and numerical investigation of interface damage in composite L-angle sections under four-point bending

Auteurs: Xi Zou, Shibo Yan, Mikhail Matveev, James P Rouse, I Arthur Jones
Publié dans: Journal of Composite Materials, Numéro 55/2, 2021, Page(s) 187-200, ISSN 0021-9983
Éditeur: SAGE Publications
DOI: 10.1177/0021998320943659