Honeycomb structures are widely used in energy absorption, and more recently auxetic honeycombs have been studied in order to improve absorption capabilities of such structures. The hexagonal re-entrant (HR) honeycomb is foreseen to be a promising structure under impact velocities. An experimental analysis of the re-entrant honeycomb under impact velocity has led to a finite elements model validation at scale one, i.e. scale of current car crash cushions. A new objective function based on the European Standard has been developed in order to improve crash cushions capabilities while avoiding peak deceleration by using a meta-heuristic optimization algorithm. The global optimization process has been performed using Inverse-PageRank-PSO algorithm. The algorithm has led to an optimal geometrical configuration of HR honeycomb improving the performance of current road safety devices. The optimal structure presents a quasi-linear absorption curve, as recommended by European standards.


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    Title :

    Artificially smart optimization of crash cushion device sustained by experimental and numerical study of re-entrant auxetic honeycomb


    Additional title:

    J. Tondut et al.
    International Journal of Crashworthiness


    Contributors:
    Tondut, J. (author) / Di Cesare, N. (author) / Ronel, S. (author)

    Published in:

    Publication date :

    2024-01-02


    Size :

    14 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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