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在目前的动力学研究中,无法对不同参数下的相似刚体模态进行计算机自动识别。基于模糊数学中的最大隶属度原则,对刚体振动模态进行相似性研究,得到了准确度较高的相似模态识别方法,能够对随着参数变化而变化的刚体模态进行自动识别和归类;绘制出了准确的参数-模态曲线,为机车的悬挂系统优化中刚体模态分析的后处理提供了有效的手段。
In the current kinetic studies, it is not possible to perform computer automatic recognition of similar rigid body modes under different parameters. Based on the principle of maximum degree of membership in fuzzy mathematics, the researches on the similarity of rigid body vibration modes are carried out, and the similar modal identification method with high accuracy is obtained. The rigid body modes that change with the parameters can be automatically identified and classified The accurate parametric-modal curves were drawn, which provided an effective method for the post-processing of rigid body modal analysis in the suspension system optimization of locomotive.