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

Author:

Yang Kuijian123ORCID,Li Xiaoxun4,Li Zhi3,Zhu Weiyu3ORCID,Yao Yingkang12

Affiliation:

1. State Key Laboratory of Precision Blasting, Jianghan University, Wuhan 430056, China

2. Hubei Key Laboratory of Blasting Engineering, Jianghan University, Wuhan 430056, China

3. School of Aeronautics and Astronautics, Sun Yat-sen University, Shenzhen 518107, China

4. Department of Aeronautics and Astronautics, Fudan University, Shanghai 200433, 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 tave, 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 tave 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 sm, 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.

Funder

National Natural Science Foundation of China

the State Key Laboratory of Precision Blasting and the Hubei Key Laboratory of Blasting Engineering of Jianghan University

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

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