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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

Descripción del proyecto

Un marco avanzado facilita el diseño de materiales de transporte ligeros

Los vehículos ligeros requieren menos energía para moverse y son un componente importante de los planes de la Unión Europea (UE) para afrontar el calentamiento global. Los compuestos estratificados y los materiales porosos son especialmente prometedores para las estructuras acústicas ligeras y de alto rendimiento. Con el apoyo de las Acciones Marie Skłodowska-Curie, el equipo del proyecto MulnSE pretende desarrollar los métodos avanzados de caracterización inversa que faltan para optimizar la propagación de ondas en ellos. El marco de identificación multinivel basado en ondas para la caracterización de los materiales a escala cruzada, la modelización de los materiales reales y el diseño inverso de nuevos materiales con propiedades a medida permitirá la caracterización tanto a macroescala como a microescala. Respaldará una cadena de diseño de materiales ligeros de bajo coste para el sector del transporte.

Objetivo

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.

Coordinador

KUNGLIGA TEKNISKA HOEGSKOLAN
Aportación neta de la UEn
€ 206 887,68
Dirección
BRINELLVAGEN 8
100 44 Stockholm
Suecia

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Región
Östra Sverige Stockholm Stockholms län
Tipo de actividad
Higher or Secondary Education Establishments
Enlaces
Coste total
Sin datos