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Based on the classic honeycomb sandwich structure, an enhanced honeycomb lattice sandwich structure was proposed in this paper, and its load-bearing performance was analyzed and optimized. Firstly, unit cell specimens of both classic and enhanced honeycomb structures were fabricated using 3D printing technology. Quasi-static compression tests and numerical simulations were conducted to verify that the enhanced honeycomb unit cells have superior load-bearing performance compared to the classic honeycomb unit cells. Secondly, five key parameters of the enhanced honeycomb were selected as design variables to create a Kriging surrogate model for structural mass and a radial basis function neural network model for energy absorption. Multi-objective genetic algorithms were used to invoke the surrogate models for optimizing load-bearing performance. The optimal structural parameters of the enhanced honeycomb unit cells were obtained and validated through experiments and simulations. The results show that, under the same mass conditions, the optimized configuration improves energy absorption performance by 24.25% compared to the initial configuration and by 35.9% compared to the classic honeycomb sandwich structure.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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