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BRIEF RESEARCH REPORT article
Front. Appl. Math. Stat.
Sec. Statistics and Probability
Volume 11 - 2025 | doi: 10.3389/fams.2025.1556150
Research on Program Load Spectrum for Key Components of a Metro Vehicle Body
Provisionally accepted- 1 The State Key Laboratory of Heavy-duty and Express High-power Electric Locomotive, Zhuzhou, China
- 2 CRRC Zhuzhou Locomotive Co., Ltd., Zhuzhou, China
- 3 School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China
This work aims to construct a load spectrum that conforms to the actual working conditions, enabling accurate fatigue life assessment of key components and enhancing the overall safety and reliability of the metro vehicle. A field test is first conducted on the mainline of a metro to collect the distribution of the random load data. Based on the load test data of on-line operation of test vehicle, the method of compiling the program load spectrum of the key components of the metro vehicle body is studied. The load data of the key components of the vehicle body are screened and interpreted to eliminate the error and peak disturbance in the signal. By using the rain flow counting method to analyze the time load series, the load data under the actual road conditions are simplified and recorded. The probability distribution function of the load amplitude and load mean of the key components of the vehicle body is established by means of statistical method. Based on its distribution characteristics, the frequency of rain flow counting is extrapolated. Combined with its joint probability distribution function, the load extreme value is obtained, and the 8-level two-dimensional load spectrum is constructed. Further, the variable mean method is used to simplify the two-dimensional load spectrum to obtain the one-dimensional load spectrum, and the HBM Ncode program is used to complete the preparation of the program load spectrum. It provides a theoretical basis for the fatigue life assessment of the key components of the metro vehicle body.
Keywords: metro transportation, Program load spectrum, Rainflow counting method, Vehicle fatigue, Accelerated testing
Received: 06 Jan 2025; Accepted: 24 Feb 2025.
Copyright: © 2025 SU, HE, DUAN and Wu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Xiao Wu, School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China
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