IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i18p13963-d1243981.html
   My bibliography  Save this article

Optimal Design and Mean Stress Estimation of Modular Metamaterials Inspired by Burr Puzzles

Author

Listed:
  • Kuijian Yang

    (State Key Laboratory of Precision Blasting, Jianghan University, Wuhan 430056, China
    Hubei Key Laboratory of Blasting Engineering, Jianghan University, Wuhan 430056, China
    School of Aeronautics and Astronautics, Sun Yat-sen University, Shenzhen 518107, China)

  • Xiaoxun Li

    (Department of Aeronautics and Astronautics, Fudan University, Shanghai 200433, China)

  • Zhi Li

    (School of Aeronautics and Astronautics, Sun Yat-sen University, Shenzhen 518107, China)

  • Weiyu Zhu

    (School of Aeronautics and Astronautics, Sun Yat-sen University, Shenzhen 518107, China)

  • Yingkang Yao

    (State Key Laboratory of Precision Blasting, Jianghan University, Wuhan 430056, China
    Hubei Key Laboratory of Blasting Engineering, Jianghan University, Wuhan 430056, China)

Abstract

Modular impact-resistant metamaterials inspired by burr puzzles were recently proposed to combine flexibility, efficiency and adaptivity, which were also beneficial for sustainability in engineering protection. However, the optimal design remains to be explored and the mean stress cannot be effectively estimated. To break these limits, a stiffness-enhanced strategy is implemented to enhance the crashworthiness, and the relation between the mechanical behavior of metamaterials and locking points is revealed. The average thickness of all modules in the metamaterial is denoted by t ave , and the thickness ratio of axially loaded to laterally loaded modules is denoted by y . From the experimental and simulation results, the mean stress of the metamaterials significantly increases with t ave and y , while the deformation mode is gradually transformed into an inefficient global buckling mode and impairs the crashworthiness when ψ ≥ 4 . ψ = 3 can be taken as the optimal design of metamaterials, which can increase the specific energy absorption SEA , energy absorption efficiency h and mean stress s m , respectively, by 62.4%, 44.2% and 57.6% compared to the regular design ( ψ = 1 ). On this basis, we develop a universe method to estimate the mean stress of the metamaterials with a relative error less than 9.6%, and a guideline for their design and application in engineering fields is summarized. This research opens a new avenue for broadening the design and applications of modular metamaterials in engineering applications.

Suggested Citation

  • Kuijian Yang & Xiaoxun Li & Zhi Li & Weiyu Zhu & Yingkang Yao, 2023. "Optimal Design and Mean Stress Estimation of Modular Metamaterials Inspired by Burr Puzzles," Sustainability, MDPI, vol. 15(18), pages 1-20, September.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:13963-:d:1243981
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/18/13963/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/18/13963/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:13963-:d:1243981. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.