Open AccessThe Fast Algorithm of Running Stability in Mechanical Analysis of High Speed Railway
Author(s) -
Jinhua Wang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1578/1/012189
Subject(s) - train , stability (learning theory) , high speed train , vibration , computer science , power (physics) , workload , critical speed , automotive engineering , research object , simulation , engineering , physics , cartography , quantum mechanics , machine learning , regional science , transport engineering , geography , operating system
The running stability of high-speed railway is the goal of operators and vehicle manufacturers, so the running stability of high-speed railway is an important part of vehicle dynamics analysis. The stability analysis involves a lot of working conditions and suspension parameters, and the analysis workload is huge. Therefore, in this paper, the random vibration and running stability of high-speed trains are taken as the research object, and the relevant fast algorithm of responding to the power spectrum of high-speed railway vehicles is derived through the virtual excitation method, so as to realize the running stability research of high-speed railway vehicles. In this paper, the vertical and horizontal response power spectrum and stability index of a high-speed train are analyzed. Finally, the stability index is used to analyze the dynamic performance of the train at the same time, and the line test results of the dynamic performance of the train are evaluated. The research results show that the simple and efficient analysis algorithm is helpful to improve the analysis efficiency and reduce the simulation calculation time.