A method for predicting failure time of railway rail joint under multi-crack coupling

By constructing a multi-crack joint probability model, the failure time of railway rail joints is predicted, solving the problem of rail welded joint fracture failure and improving the accuracy and reliability of the prediction.

CN122113366APending Publication Date: 2026-05-29SOUTHWEST JIAOTONG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SOUTHWEST JIAOTONG UNIV
Filing Date
2026-01-12
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

In existing technologies, railway rail welded joints are prone to stress concentration and uneven structure, leading to frequent fracture failures, affecting traffic safety and increasing maintenance burden.

Method used

By acquiring crack propagation test data, calculating the stress intensity factor, and establishing a deterministic relationship between crack length and loading number by combining Paris's law, a stochastic model of specimen propagation is constructed. This model is then extended to the component level through a weighting function. Combining the Wiener process model and the competitive failure mechanism, a multi-crack joint probability model is established to predict the joint failure time.

Benefits of technology

It improves the accuracy and reliability of predicting the failure time of railway rail joints, systematically considers the uncertainties of material, load and environmental factors, truly reflects the failure behavior under the condition of multiple cracks coexisting, and enhances the engineering applicability of the prediction.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application provides a railway rail joint failure time prediction method under multi-crack coupling, relates to the technical field of rail joint prediction, and comprises the following steps: stress intensity factors are calculated based on crack propagation test data, a deterministic relationship between crack length and loading times is established by combining Paris law, and a specimen expansion random model is constructed; the specimen expansion random model is expanded at the component level according to a weight function, and a component expansion random model is constructed; based on the component expansion random model, the time distribution of a single crack degradation amount reaching a threshold value is calculated through a preset crack failure threshold value and a Wiener process model, and a crack failure distribution is obtained; each crack failure distribution is connected according to a connection function, a multi-crack joint probability model is established by combining a competing failure mechanism; and the failure time distribution function of the joint under the multi-crack coupling competition condition is predicted based on the multi-crack joint probability model. The application solves the problem of rail welded joint fracture failure.
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