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Geometry Optimization of a Highly Flexible Gradient Metamaterial Structure Using a Differential Evolution Algorithm

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F24%3APU155226" target="_blank" >RIV/00216305:26210/24:PU155226 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/10789725" target="_blank" >https://ieeexplore.ieee.org/document/10789725</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ME61309.2024.10789725" target="_blank" >10.1109/ME61309.2024.10789725</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Geometry Optimization of a Highly Flexible Gradient Metamaterial Structure Using a Differential Evolution Algorithm

  • Original language description

    Gradient structures can offer great flexibility in parameter tuning, enabling the achievement of tailored mechanical properties for specific applications, and can even outperform their uniform counterparts. However, the design of such complex structures can be challenging, especially when many tunable geometric parameters are involved. To address this challenge, a simplified model that captures the main attributes and behavior of the structure can be employed. In this approach, a reduced number of parameters are optimized, while the remaining parameters are treated as constants throughout the structure. This also reduces the computational demands for simulating the structure with each iteration, thus accelerating the overall optimization process. A method for the geometry optimization of a highly flexible gradient metamaterial structure for the skin of a morphing aircraft wing's leading edge is proposed, utilizing a differential evolution algorithm. Initially, the basics of evolutionary algorithms and their representative, differential evolution, are introduced. Then, the flexible metamaterial skin with gradient bending stiffness, its simplified spring model, and the set of parameters for optimization are presented. Finally, the geometry parameters and the required acting loads are optimized using DE to achieve various deformed shapes that correspond to the morphing wing leading edge at different flight stages. Three levels of complexity of the optimized model are explored: a foundational version suitable for algorithm parameter tuning, an intermediate version for the optimization of geometric parameters and loading for one target shape, and an advanced version aimed at achieving multiple morphing shapes under different loading conditions.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20301 - Mechanical engineering

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2024 21st International Conference on Mechatronics - Mechatronika (ME)

  • ISBN

    979-8-3503-9490-0

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    186-191

  • Publisher name

    IEEE

  • Place of publication

    Brno, Czech Republic

  • Event location

    Brno

  • Event date

    Dec 4, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article