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Article Dans Une Revue International Journal of Crashworthiness Année : 2022

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

Résumé

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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Dates et versions

hal-03895769 , version 1 (13-12-2022)

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Jeanne Tondut, Noëlie Di Cesare, Sylvie Ronel. Artificially smart optimization of crash cushion device sustained by experimental and numerical study of re-entrant auxetic honeycomb. International Journal of Crashworthiness, 2022, 14p. ⟨10.1080/13588265.2022.2134690⟩. ⟨hal-03895769⟩
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