Mechanical Analysis and Multi-Objective Optimization of Origami-Inspired Tree-Shaped Thin-Walled Structures Under Axial Impacts
Rail vehicles, frequently utilized as a heavy-duty, high-speed means of transportation, have been observed to result in substantial casualties and economic losses in the event of accidents. Energy-absorbing structures are critical to achieving passive safety, effectively absorbing and dissipating energy. The present study utilizes numerical simulation to assess the performance of origami-inspired tree-shaped structures (OTSs) under diverse surface configurations. OTSs offer significant advantages in reducing <i>IPCF</i> without substantially compromising other performance metrics. This experimental approach is employed to validate the efficacy of a finite element model. A multi-criteria decision-making method integrates MOEA/D-DAE and TOPSIS. This integrated approach is employed to identify optimal structures. The validity of the method was established through a comparison of the predicted results with the outcomes of finite element analysis. The findings demonstrated a 31.2% reduction in <i>IPCF</i>, a 3.6% increase in <i>SEA</i>, and a 10.4% rise in <i>ULC</i>. The optimized <i>IPCF</i> is 4.9919 kN, <i>SEA</i> is 12.316 kJ/kg. The collective results indicate the efficacy of the method as a tool for analyzing and optimizing energy-absorbing structures.
Authors
- Xinyu Hao (ORCID: https://orcid.org/0000-0002-0634-3333)
- Zhiwei Meng (ORCID: https://orcid.org/0000-0002-4770-6698)
- Nan Guo (ORCID: https://orcid.org/0000-0002-6573-3446)
- Shangbin Zhang
- Jixiang Zhang (ORCID: https://orcid.org/0000-0001-7148-2041)
- Honghao Zhang (ORCID: https://orcid.org/0000-0003-0421-2070)
Institutions
- Shandong University (CN)
Publication Details
- Journal
- Biomimetics
- Published
- 2025-10-17
- DOI
- https://doi.org/10.3390/biomimetics10100705
- Citations
- 1
- Primary Topic
- Advanced Materials and Mechanics
- Type
- article
- Field-Weighted Citation Impact
- 0.71
Funders
- Shandong University
- Natural Science Foundation of Shandong Province