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Multi-level wave-based identification framework for the inverse characterization...

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

31/05/2026

KTH

207K€

Presupuesto del proyecto: 207K€

Líder del proyecto

KUNGLIGA TEKNISKA HOEGSKOLAN No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-05-03

HORIZON-MSCA-2023-PF-01-01: MSCA Postdoctoral Fellowships 2023 ExpectedOutcome:Project results are expected to contribute to the following outcomes:

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KTH

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Duración del proyecto: 24 meses Fecha Inicio: 2024-05-03
Fecha Fin: 2026-05-31

Líder del proyecto

KUNGLIGA TEKNISKA HOEGSKOLAN No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 207K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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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