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Structural and Multidisciplinary Optimization

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02.04.2020 | Industrial Application Paper

Crashworthiness analysis and collaborative optimization design for a novel crash-box with re-entrant auxetic core

verfasst von: Tao Wang, Zhen Li, Liangmo Wang, Gregory M. Hulbert

Erschienen in: Structural and Multidisciplinary Optimization | Ausgabe 4/2020

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Abstract

Crash-box is a significant part of automotive passive safety system and serves as a main energy absorption device in frontal impact scenario. In this paper, a novel crash-box integrating an outer thin-walled tube and an inner auxetic cellular core has been designed and comprehensively investigated under axial load. The impact simulation of the auxetic crash-box has been carried out, and the results show that introduction of the auxetic core can improve its energy absorption capacity without increasing too much peak impact force. Based on the sensitivity analysis, the effects of its geometric parameters on the crashworthiness performance have been studied. Finally, collaborative optimization of the auxetic crash-box has been performed to simultaneously improve its crashworthiness under the low-speed (15 km/h) and high-speed (40 km/h) impact cases. In the optimization procedure, the least square support vector regression (LS-SVR) method and an improved particle swarm optimization (IPSO) algorithm with time-varying coefficients have been utilized. The results demonstrate that the optimized crash-box can comprehensively improve the energy absorption and impact force characteristics effectively. The auxetic crash-box and the collaborative optimization approach provide extensive references for the application of auxetic structure in vehicle crashworthiness design.

Vorheriger Artikel Multidisciplinary design optimization for hybrid electric vehicles: component sizing and multi-fidelity frontal crashworthiness

Nächster Artikel Weight optimization of a composite wing-panel with flutter stability constraints by ply-drop

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Titel: Crashworthiness analysis and collaborative optimization design for a novel crash-box with re-entrant auxetic core
verfasst von: Tao Wang
Zhen Li
Liangmo Wang
Gregory M. Hulbert
Publikationsdatum: 02.04.2020
Verlag: Springer Berlin Heidelberg
Erschienen in: Structural and Multidisciplinary Optimization / Ausgabe 4/2020
Print ISSN: 1615-147X
Elektronische ISSN: 1615-1488
DOI: https://doi.org/10.1007/s00158-020-02568-6

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