Analysis of the consistency of the Sperling index for rail vehicles based on different algorithms

Ride comfort indices are used to evaluate the vibration of rail vehicles and to measure the discomfort of passengers. Among the various ride comfort indices, the Sperling index is widely used in China and other countries. However, there are several different methods for determining the Sperling index from dynamic simulations and performance measurements of rail vehicles, and the results obtained by different algorithms are inconsistent. It is therefore difficult to make an accurate evaluation with the different calculation results. In this paper, a comparison is made between algorithms based on time domain and frequency domain analysis and using the second and third powers of the acceleration. The different algorithms are then summarised into a unified equation, and the consistency of the results is analysed by this equation. It is found that only the r.m.s-based algorithm in the time or frequency domain is stable when analysis is carried out over different sample times. The time-frequency consistency of the r.m.s-based algorithms is verified by Parseval?s theorem and using calculation results from time domain simulations.

Automated summary

Ride comfort indices are used to assess rail vehicle vibration and passenger discomfort, with the Sperling index being widely used but with inconsistent results from different algorithms. This study compares time and frequency domain analysis algorithms, finding r.m.s-based algorithms to be stable and consistent across different sample times. Time-frequency consistency is verified using Parseval's theorem and time domain simulation results.