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The resrearch aims of the paper is to improve the optimization efficiency of the automobile sill beam, and address the challenges of optimization such as the limited energy absorption of the sill extrusion aluminum under the condition of the side column collision, long iterative cycle of explicit solution in the simulation and the high requirements of the manufacturing process. A collision model is established based on an SUV model, and the Design Of Experiment (DOE) analysis is made with sill beam thickness as variables, resulting in 144 groups of valid design data are obtained. A Reduced-Order Model (ROM) is formed by deep learning methods(Rapidminer, romAI) and used as the alternative model of optimization and simulation. The results of CAE simulation verifies that accuracy of romAI reaches more than 95% in optimization and the solution speed is increased by more than 40 times under the limited data, which greatly shortens the R&D cycle.
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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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