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Multi-level wave-based identification framework for the inverse characterization and inverse design of acoustically high-performance lightweight structures under realistic conditions

Project description

Advanced framework supports lightweight transport materials’ design

Lightweight vehicles require less energy to move them and are an important component of the EU’s plans to address global warming. Layered composites and porous materials are particularly promising for acoustically high-performing and lightweight structures. With the support of the Marie Skłodowska-Curie Actions programme, the MulnSE project aims to develop the missing advanced inverse characterisation methods to optimise wave propagation in these. The multi-level wave-based identification framework for cross-scale material characterisation, real material modelling, and inverse design of new materials with tailored properties will enable both macroscale and microscale characterisation. It will support a design chain for low-cost lightweight materials for the transport sector.

Objective

The development and promotion of lightweight vehicles is a crucial part of the comprehensive strategy of the EU to address global warming. Over recent decades, layered composite structures and porous materials have been the most attractive acoustically high-performance lightweight structures for designing lightweight vehicles. However, the design of these structures remains challenging in the vibroacoustic field due to the lack of advanced inverse characterization methods to overcome the limitations of various realistic conditions. To this end, the proposed research will provide a robust, efficient, and accurate multi-level wave-based identification framework for cross-scale material characterization, real material modeling, and inverse design of new materials with tailored properties by coordinating cutting-edge research and integrating advanced multidisciplinary techniques. In terms of macro-scale characterization, a new wave-based identification technique will be proposed for the first to characterize wave propagation of structures with complex shapes, such as open-cell porous materials and curved structures, under realistic complex sampling conditions. In terms of micro-scale characterization and real material modeling, this work will deliver a novel wave-based model fitting method to overcome limitations of the strict assumption of materials properties and external conditions of existing model fitting methods, allowing us to identify dynamic elastic modulus of fluid-saturated porous materials and structural properties of each layer of layered composite structures. Moreover, this work will bring a low-cost new material inverse design chain that integrates characterization, modeling, design, testing, and verification, only requiring structure response as input. This research will be a key step for manufacturers in the early design stage of lightweight vehicles, making a significant contribution to achieving the climate goals of the EU Green Deal and Fit for 55.

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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

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(opens in new window) HORIZON-MSCA-2023-PF-01

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Coordinator

KUNGLIGA TEKNISKA HOEGSKOLAN
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.

€ 206 887,68
Address
BRINELLVAGEN 8
100 44 Stockholm
Sweden

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Region
Östra Sverige Stockholm Stockholms län
Activity type
Higher or Secondary Education Establishments
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Total cost

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