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Crashworthiness Design and Multi-Objective Optimization of Bionic Thin-Walled Hybrid Tube Structures

Pingfan Li, Jiumei Xiao*

Department of Applied Mechanics, University of Sciences and Technology Beijing, Beijing, 100083, China

* Corresponding Author: Jiumei Xiao. Email: email

(This article belongs to the Special Issue: Bio-inspired Optimization in Engineering and Sciences)

Computer Modeling in Engineering & Sciences 2024, 139(1), 999-1016. https://doi.org/10.32604/cmes.2023.044059

Abstract

Thin-walled structures are widely used in cars due to their lightweight construction and energy-absorbing properties. However, issues such as high initial stress and low energy-absorbing efficiency arise. This study proposes a novel energy-absorbing structure in which a straight tube is combined with a conical tube and a bamboo-inspired bulkhead structure is introduced. This configuration allows the conical tube to flip outward first and then fold together with the straight tube. This deformation mode absorbs more energy and less peak force than the conical tube sinking and flipping inward. Through finite element numerical simulation, the specific energy absorption capacity of the structure is increased by 26% compared to that of a regular circular cross-section tube. Finally, the impact resistance of the bionic straight tapered tube structure is further improved through multi-objective optimization, promoting the engineering application and lightweight design of hybrid cross-section tubes.

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APA Style
Li, P., Xiao, J. (2024). Crashworthiness design and multi-objective optimization of bionic thin-walled hybrid tube structures. Computer Modeling in Engineering & Sciences, 139(1), 999-1016. https://doi.org/10.32604/cmes.2023.044059
Vancouver Style
Li P, Xiao J. Crashworthiness design and multi-objective optimization of bionic thin-walled hybrid tube structures. Comput Model Eng Sci. 2024;139(1):999-1016 https://doi.org/10.32604/cmes.2023.044059
IEEE Style
P. Li and J. Xiao, "Crashworthiness Design and Multi-Objective Optimization of Bionic Thin-Walled Hybrid Tube Structures," Comput. Model. Eng. Sci., vol. 139, no. 1, pp. 999-1016. 2024. https://doi.org/10.32604/cmes.2023.044059



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