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image of Fatigue Reliability Prediction of TBM Main Bearings Based on Non-dimensional Interference Model

Abstract

Introduction

To predict the fatigue life of the main bearing of the TBM cutter head. In this paper, a patent method for a different dimension interference model combining numerical simulation platform and numerical statistics is proposed to further improve the efficiency and accuracy of the reliability analysis of the main bearing.

Method

The load from the cutter head is transmitted to the bearings, thereby identifying the critical locations and maximum stress points of the main bearings. The load history of the dangerous locations of the main bearings is obtained and combined with the quasi-static method, the stress history of the dangerous locations is derived. Combining stress-strength interference models and statistical theory, this study applies a non-dimensional interference model to predict the reliability of TBM main bearings under specific operating conditions.

Result

After statistical analysis, the stress amplitude distribution of the main bearings conforms to the Weibull distribution, with a shape parameter of 0.61 and a scale parameter of 68.39; The lifetime distribution follows a lognormal distribution. By utilizing the non-dimensional interference model, the reliability curve of the main bearings is derived. When the operating cycles reach 6.8e6, the reliability is 0.9, and the lifespan remains around 20,000 hours, meeting the engineering requirements.

Conclusion

Therefore, The model and patent for the method proposed in this paper can calculate the fatigue reliability of the main bearing quickly, ensure the accuracy of the analysis results, and provide certain theoretical support for the prediction of its safety and fatigue reliability.

This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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2025-01-21
2025-10-29
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