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MACADAMIA SIGNED

Machine learning Augmented Computational Analysis of composite panels: new insights into DAmage Mechanisms In Aerospace structures with nanoparticles

Total Cost €

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EC-Contrib. €

0

Partnership

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 MACADAMIA project word cloud

Explore the words cloud of the MACADAMIA project. It provides you a very rough idea of what is the project "MACADAMIA" about.

damage    mitigates    smartly    serve    technologies    primary    accelerated    free    count    efficacy    alternatives    reducing    tolerance    flight    hot    mechanical    predictive    load    arrest    macadamia    classify    popular    pound    plan    estimation    retain    structural    experiments    fuel    learning    strengthen    evolution    fasteners    strength    certified    panels    optimise    spots    environmental    safe    seamless    life    durability    carefully    coupled    ambitiously    savings    models    gallons    fastener    classification    fleet    compliance    critical    data    certification    composite    14000    prediction    weight    evaluation    commercial    cycle    prone    nanoparticle    until    mechanics    nanoparticles    computational    difficult    regulations    strategy    delay    added    conjunction    designed    stiffened    physics    predict    bearing    realized    aerospace    integration    competitiveness    structures    innovative    inclusion    envisions    vital    multidisciplinary    nanotechnology    mechanisms    leveraged    aircraft    machine    longer   

Project "MACADAMIA" data sheet

The following table provides information about the project.

Coordinator
TECHNISCHE UNIVERSITEIT DELFT 

Organization address
address: STEVINWEG 1
city: DELFT
postcode: 2628 CN
website: www.tudelft.nl

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Netherlands [NL]
 Total cost 175˙572 €
 EC max contribution 175˙572 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2020
 Duration (year-month-day) from 2020-04-01   to  2022-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TECHNISCHE UNIVERSITEIT DELFT NL (DELFT) coordinator 175˙572.00

Map

 Project objective

MACADAMIA ambitiously seeks a seamless integration of machine learning concepts with physics-based models to optimise aerospace stiffened panels for damage tolerance. As an innovative strategy to delay damage, nanoparticles will be added in failure-prone hot-spots of composite stiffened panels to serve as damage arrest features. The efficacy of machine learning when used in conjunction with advanced computational methods for data classification and prediction will be smartly leveraged to classify and predict damage mechanisms in aircraft structures, the understanding of which is critical to their safe implementation. In aircraft, stiffened composite panels are popular alternatives to structures with mechanical fasteners because they retain strength while reducing weight and part count; but cost and weight savings cannot be fully realized until stiffened panels are certified without fasteners in primary load-bearing structures. It is estimated that a one-pound weight reduction on each aircraft in a commercial fleet would result in fuel savings of 14000 gallons/year, which also mitigates the environmental impact of flight. To strengthen the competitiveness of European aerospace technologies in compliance with evolving environmental regulations, it is vital to work towards accelerated certification of fastener-free composite panels. Major challenges to this goal are: i) damage mechanisms in stiffened panels are complex and coupled, making the evaluation of strength and durability difficult; ii) predictive models for life-cycle estimation have large uncertainty. MACADAMIA envisions an approach with carefully designed experiments for nanoparticle inclusion along with physics-based models to investigate strength and damage evolution in stiffened panels, and machine learning to further optimise them for longer useful life. Multidisciplinary concepts of structural mechanics, computational physics, nanotechnology and machine learning will be used to accomplish research plan.

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The information about "MACADAMIA" are provided by the European Opendata Portal: CORDIS opendata.

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