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Deep Learning-based delamination assessment of complex composite structures from UGW responses under varying environment

Project description

Advanced tools for assessing delamination online

Ultrasonic Guided Wave (UGW) is a non-destructive assessment method used for detecting corrosion and other types of damage. UGW is particularly valuable in the delamination processes within aviation, energy, and civil industries. The MSCA-funded SafeCom project is developing a novel approach for assessing inverse delamination damage in industrial composite structures. The approach relies on Deep Learning (DL) and is designed to extract valuable insights from UGW responses obtained under a wide array of extreme operating and environmental conditions. The project's goal is to establish a pathway for the creation of advanced tools for assessing delamination. These tools would operate online, providing rapid assessments for industrial complex composite structures. This initiative serves to bolster European industrial competitiveness.

Objective

The present research proposal aims towards developing a Deep Learning (DL)-based inverse delamination damage assessment
approach in complex industrial composite structures from Ultrasonic Guided Wave (UGW) responses under extreme and varying
operating and environmental conditions (temperature, humidity, pressure). The proposal consists of a number of important
innovative components, such as a) Developing an efficient model for easy incorporation of single and multiple interface delamination
b) Utilizing a mesh-free method to overcome the drawbacks of finite element method c) Modelling accurate wave-damage
interaction under extreme and varying environments d) Constructing a DL-based robust inverse approach to perform effectively
under varying structural complexity and operating environments e) Validating the approach for real-life/ laboratory samples. Meshfree models will provide sufficient flexibility to model geometric complexity and damages besides significant reduction in
computational cost. DL's capability of handling large data sets and predicting optimum output from raw response will provide a
superior approach to predict damages from raw UGW responses. Therefore, this proposal will pave pathways to develop the next
generation of ‘online’, fast and robust delamination assessment tools for industrial complex composite structures under varying
operating environments. This will further enhance European industrial competitiveness and leadership through reducing the
inspection cost by assessing the structural integrity of a complex structure without stopping its normal operations. The Fellow's
expertise in delamination modelling and assessment and the Supervisor's expertise in modelling UGW propagation in complex
structures will create two-way knowledge transfer between them, which will create major scientific, social and economic
advancement in European aviation, energy and civil industries by providing online and accurate diagnostic and prognostic
technologies.

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-MSCA-2022-PF-01

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Coordinator

KATHOLIEKE UNIVERSITEIT LEUVEN
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 175 920,00
Address
OUDE MARKT 13
3000 LEUVEN
Belgium

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Region
Vlaams Gewest Prov. Vlaams-Brabant Arr. Leuven
Activity type
Higher or Secondary Education Establishments
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Total cost

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