@article{ref1,
title="Artificially smart optimization of crash cushion device sustained by experimental and numerical study of re-entrant auxetic honeycomb",
journal="International journal of crashworthiness",
year="2024",
author="Tondut, J. and Di Cesare, N. and Ronel, S.",
volume="29",
number="1",
pages="22-35",
abstract="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.<p /> <p>Language: en</p>",
language="en",
issn="1358-8265",
doi="10.1080/13588265.2022.2134690",
url="http://dx.doi.org/10.1080/13588265.2022.2134690"
}