Artificial Intelligence Metamodeling Approach to Design Smart Composite Laminates with Bend-Twist Coupling

Daniel Restrepo-Montoya, Joham Alvarez-Montoya, Julian Sierra-Perez, Cesar Nieto-Londono

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations

    Abstract

    The bend-twist coupling effect of anisotropic materials such as composite laminates can be used to create smart structures capable of adapting their shapes to changing operating conditions. This effect can be useful in wind energy systems with composite blades for improving the rotor operational range as a passive control strategy. However, it is difficult to design such structures in order to attain a desired angle when bent. This paper proposes a metamodel-based methodology to design laminates with bend-twist coupling effect by means of genetic algorithms (GA) and artificial neural networks (ANN) integrated with a finite element model (FEM) capable of defining the stacking sequence that a laminate needs to reach a certain twist angle when submitted to bending load. The genetic algorithm uses a deterministic tournament for selection, a two-point method for crossover and an ANN trained with FEM simulations is used as the fitness function for reducing computational time. This strategy could ease the design of this type of structures in practical scenarios.

    Original languageEnglish
    Title of host publication2019 IEEE 2nd International Conference on Renewable Energy and Power Engineering, REPE 2019
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages155-159
    Number of pages5
    ISBN (Electronic)9781728145624
    DOIs
    StatePublished - Nov 2019
    Event2nd IEEE International Conference on Renewable Energy and Power Engineering, REPE 2019 - Toronto, Canada
    Duration: 2 Nov 20194 Nov 2019

    Publication series

    Name2019 IEEE 2nd International Conference on Renewable Energy and Power Engineering, REPE 2019

    Conference

    Conference2nd IEEE International Conference on Renewable Energy and Power Engineering, REPE 2019
    Country/TerritoryCanada
    CityToronto
    Period2/11/194/11/19

    Bibliographical note

    Publisher Copyright:
    © 2019 IEEE.

    Keywords

    • bend-twist coupling
    • composite materials
    • genetic algorithm
    • metamodeling
    • smart structures
    • wind energy

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