Multiscale Analysis of AiRframe Structures and Quantification of UncErtaintieS System

Project Information

MARQUESS

Grant agreement ID: 754581

DOI

10.3030/754581

Project closed

EC signature date 16 May 2017

Start date 1 June 2017

End date 31 May 2021

Funded under

• SOCIETAL CHALLENGES - Smart, Green And Integrated Transport

Total cost

€ 797 231,25

EU contribution

€ 797 231,25

Coordinated by

THE UNIVERSITY OF NOTTINGHAM
United Kingdom

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

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

Author(s): X. Zou, S. Yan1, J.P. Rouse, I.A.Jones, M. Hamadi and M. Fouinneteau
Published in: 2019
Publisher: 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

Author(s): Zou, X.; Yan, S.; Rouse, J.; Matveev, M.; Li, S.; Jones, I. A.; Hamadi, M.; Fouinneteau, M.
Published in: Proceedings of 18th European Conference on Composite Materials, Issue Jun 24, 2018, 2018, ISBN 9781-510896932
Publisher: European Society for Composite Materials

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

Author(s): Bonney, Matthew S.; Evans, Richard; Rouse, James; Jones, Arthur; Hamadi, Maxime
Published in: Proceedings of AerospaceEurope Conference 2020, 2020
Publisher: AEC 2020

Peer reviewed articles (4)

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

Author(s): Matthew S. Bonney, Richard Evans, James Rouse, Arthur Jones, Pierre Kerfriden, Maxime Hamadi
Published in: Advanced Modeling and Simulation in Engineering Sciences, Issue 8/1, 2021, ISSN 2213-7467
Publisher: 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

Author(s): Xi Zou, Shibo Yan, Mohammad Reza Ilkhani, Louise Brown, Arthur Jones, Maxime Hamadi
Published in: Advances in Engineering Software, Issue 153, 2021, Page(s) 102964, ISSN 0965-9978
Publisher: 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

Author(s): Shibo Yan, Xi Zou, Mohammad Ilkhani, Arthur Jones
Published in: Composites Part B: Engineering, Issue 194, 2020, Page(s) 108014, ISSN 1359-8368
Publisher: 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

Author(s): Xi Zou, Shibo Yan, Mikhail Matveev, James P Rouse, I Arthur Jones
Published in: Journal of Composite Materials, Issue 55/2, 2021, Page(s) 187-200, ISSN 0021-9983
Publisher: SAGE Publications
DOI: 10.1177/0021998320943659