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Structural Uncertainty-oriented REgularization Framework (SURE) for Inverse Design of Engineering Applications (IDEAs)

Project description

New methods for aerospace structure regularisation

Aerospace technologies, structures, and vehicles are crucial to various sectors and their advancement, from astrophysics to space exploration, communications, and more. The development and validation of these structures can be very costly and require extensive testing, research, and the creation of prototypes. Supported by the Marie Skłodowska-Curie Actions programme, the SURE IDEAs project will develop uncertainty-oriented regularisation methods for inverse multi-task envelope design of aerospace structures, which face uncertainty and are expected to be subjected to multi-type loadings to satisfy the strict requirements of a space environment. The project will develop a novel inverse concept of a non-probabilistic regularisation-based mathematical and computational framework for use in integrated load-structure design.

Objective

This project will develop novel uncertainty-oriented regularization methods for inverse multi-task envelope designs of aerospace structures in the presence of uncertainty and subjected to multi-type loadings to meet strict space environment. An intelligent inverse design concept of a non-probabilistic regularization-based mathematical and computational (RBMC) framework will be proposed and developed for integrated load-structure design (ILSD). This framework can be defined as: Structural Uncertainty-oriented REgularization Framework (SURE) for Inverse Design of Engineering Applications (IDEAs). The applicant will create new knowledge and develop internationally recognized technology in cooperation with the team at the University of Southampton (UoS), UK.
The main original contributions of this project are: (a) An adaptive uncertainty-based condensation model will be established for accurately capturing the dynamic performances of the complete nominal structure while fully retaining the information of uncertainty of the original structure. (b) A systematic methodology of non-probabilistic regularization framework will be established for robust regularization parameter selection to tackle ill-posedness. (c) An efficient reliability-oriented force control and safety-oriented maintenance framework for ILSD will be established.
Dr. Yang has a strong record of high-quality publications in leading journals. He will be supervised by Prof. Daniil Yurchenko. Dr. Yang will have access to abundant computing and experimental facilities provided by UoS. His professional development will be underpinned by targeted training activities. The exploitation and dissemination will be planned and main contributions lie in the innovative technological development and breakthrough in ILSD. The tasks of this project are set up based on available resources to deliver the defined WPs.

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Programme(s)

Topic(s)

Funding Scheme

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

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Call for proposal

(opens in new window) HORIZON-MSCA-2024-PF-01

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Coordinator

UNIVERSITY OF SOUTHAMPTON
Net EU contribution
€ 260 347,92
Address
Highfield
SO17 1BJ SOUTHAMPTON
United Kingdom
Region
South East (England) Hampshire and Isle of Wight Southampton
Activity type
Higher or Secondary Education Establishments
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Total cost
No data