Variance-Based Sensitivity Analysis and Robustness Study of Intrinsic Characteristics of Powertrain Mounting Systems
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.
Mount systemVarianceSensitivity analysisMonte Carlo methodRobustness analysis
万方数据
维普
