Full
Outline
In order to realize the optimization of the intrinsic characteristics of the powertrain mounting system and its robustness evaluation, this paper proposed a sensitivity analysis method based on variance to find the key parameters that have a significant impact on the system performance. A multi-objective optimization model of the mounting system is constructed, which solves to obtain a reasonable deterministic optimization scheme. Meanwhile, in order to evaluate the robustness of the intrinsic characteristics of the mounting system under the uncertainty variation of the key parameters, the skewness and kurtosis are introduced, and the robustness evaluation is conducted by combining the mean value and standard deviation, and the Monte Carlo simulation method based on Latin Hypercube Sampling is used to analyze the influence of the uncertainty factors of the mounting stiffness on the robustness of the intrinsic characteristics of the mounting system. The results show that the variance-based sensitivity analysis method can not only effectively optimize the intrinsic characteristics of the mounting system and improve the optimization efficiency, but also more accurately evaluate and enhance the robustness of the system by comprehensively considering the sensitivity of the mounting stiffness.
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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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