Abstract
Bio-inspired cellular structures provide excellent elements and design concepts for designing thin-walled energy-absorbing structures of vehicles, trains and aircrafts, due to their special structural characteristics and excellent mechanical properties. This study conducts a literature review of bio-inspired cellular energy-absorbing structures with a double-circular shape and multi-objective optimization problems of energy-absorbing structures. A multi-stage cooperative optimization algorithm, which combines the theories of multi-objective optimization and multi-criteria decision making, is proposed for solving the selection and optimization problems of bio-inspired cellular thin-walled structures. Multi-performance characterization analysis and evaluation of seven types of bio-inspired cellular structures under impact loading are carried out, including horsetail grass, bamboo, lotus leaf vein, beetle elytra, lotus root and shrimp dactyl club. Subsequently, comparative analysis and discussion are conducted to verify that this optimization method is feasible and practical. The results show that the optimized results obtained by this proposed algorithm are reliable, and the optimized bio-inspired cellular thin-walled energy-absorbing structure shows better overall characteristics in collisions. © 2023 Taylor & Francis Group, LLC.
| Original language | English |
|---|---|
| Pages (from-to) | 4737-4754 |
| Journal | Mechanics of Advanced Materials and Structures |
| Volume | 31 |
| Issue number | 19 |
| Online published | 8 May 2023 |
| DOIs | |
| Publication status | Published - 2024 |
Funding
The work is supported by the National Natural Science Foundation of China [grant number 52105523, 52075553]; the Postgraduate Innovative Project of Central South University [grant number2021XQLH082]; the Natural Science Foundation of Shandong [grant number ZR2021QE249]; the Hunan Science Foundation for Distinguished Young Scholars of China [grant number 2021JJ10059];the Postgraduate Scientific Research Innovation Project of Hunan Province [grant number QL20220042]; and the China Postdoctoral Science Foundation Funded Project [grant number 2021M703559].
Research Keywords
- bio-inspired cellular thin-wall structure
- collision
- evaluation
- Multi-stage cooperative optimization
- performance analysis
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