Abstract
Based on the analysis of load spectrum data, the loading sequence and the interaction between loads are considered, a fatigue life prediction model based on load spectrum is proposed. The load spectrum is preprocessed and the probability density function of mean and amplitude are fitted. The running condition of the train is analyzed, the one-dimensional program load spectrum of wheel and axle load is constructed by extrapolating the load spectrum. According to the modified fatigue cumulative damage method, the fatigue life of the axle is predicted with the one-dimensional program load spectrum. The relevant factors that affect the strength of the part are fully considers in the model. It more accurately reflects the objective facts of the component fatigue process. The result has more engineering reference significance and it provides a theoretical basis for the design and manufacture of train axles and ensuring safe operation.
Highlights
Railway transportation is an indispensable part of the national economic construction
The one-dimensional program load spectrum is used to predict the fatigue life of train wheels and axles based on the modified fatigue cumulative damage method
This paper is mainly based on the load spectrum data of the train wheel axle, and the modified fatigue cumulative damage method is used to predict the fatigue life of the train wheel axle
Summary
Railway transportation is an indispensable part of the national economic construction. Keywords Train axle, fatigue life, reliability, load spectrum Based on the Goodman formula and the Miner damage rule, Tadeusz et al.[17] analyzed the influence of the load average value and proposed a two-dimensional fatigue life calculation method under random load.
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