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Reliability Model of TBM Main Bearing based on Nonlinear Strength Degradation Theory

Volume 14, Number 12, December 2018, pp. 3054-3065
DOI: 10.23940/ijpe.18.12.p15.30543065

Xu Zhanga, Yiqiang Zhangb, Yue Suna, Baogang Wena, and Lijun Jiangb

aInstitute of Mechanical Engineering and Automation, Dalian Polytechnic University, Dalian, 116034, China
bDepartment of Mechanical Engineering, Dalian University of Technology, Dalian, 116023, China

(Submitted on September 15, 2018; Revised on October 7, 2018; Accepted on November 12, 2018)


TBM main bearing is the key part of the main driving system of tunnel boring machines. Special working conditions determine its relatively complex structure, and at the same time, high reliability requirements are put forward. Based on the stress-strength interference model, the study of the residual strength time history of roller-raceway contact takes the nonlinear strength degradation and the dispersion of material into account, and the reliability of main bearing structure is calculated. Combined with engineering practice, taking the main bearing of rock tunnel boring machines in the water diversion project of Dahuofang Reservoir in Liaoning as an object, the remaining strength and reliability of each main structure of a three-stage time varying load are calculated, and the reliability of main bearing can be predicted based on this main bearing system model.


References: 15

                    1. Ministry of Water Resources Science and Technology Promotion Centre, “Full Face Rock Tunnel Machine,” Petroleum Industry Press, Beijing, 2005
                    2. W. Weibull, “A Statistical Representation of Fatigue Failure in Solids,” Acta Polytech, Vol. 9, No. 1, pp. 1-50, 1949
                    3. D. Kececioglu, L. B. Chester, and E. O. Gardner, “Sequential Cumulative Fatigue Reliability,” Annual Reliability and Maintainability Symposium, Vol. 1974, pp. 533-539, 1974
                    4. P. C. Paris, M. Gomez, and W. E. Anderson, “A Rational Analytic Theory of Fatigue,” The Trend in Engineering, Vol. 13, No. 1, pp. 9-14, August 2016
                    5. L. Xie, Z. Wang, and J. Zhou, “Basic Theory and Method of Mechanical Reliability,” Science Press, Beijing, 2009
                    6. P. Wang, Y. Hu, and B. Chen, “First-Order and Second-Order Hybrid Methods for Fatigue Reliability Analysis of Structural Systems,” China Shipbuilding, Vol. 147, No. 4, pp. 51-58, August 1999
                    7. Z. Peng, “Study on Structural Life Prediction and Time-Dependent Reliability Analysis based on Fatigue Damage Accumulation Theory,” Ph.D. Dissertation, University of Electronic Science and Technology, 2017
                    8. L. Jiang, “Structural Design of TBM Main Bearing for Reliability and Vibration Characteristics,” Ph.D. Dissertation, Dalian University of Technology, 2013
                    9. Q. Hu, K. Kui, T. Luo, and K. B. Xie, “Establishment of Stress Intensity Global Interference Model based on Monte Carlo Method,” Mechanical Design, Vol. 32, No. 8, pp. 26-30, 2015
                    10. L. Li and L. Xie, “Intensity Degradation of Metallic Materials under Fatigue Loading,” Journal of Mechanical Strength, Vol. 32, No. 6, pp. 967- 971, 2010
                    11. S. Zhu, H. Huang, and L. Xie, “Study on Nonlinear Fatigue Damage Cumulative Model based on Binary Fatigue Failure Criterion and its Strength Degradation,” China Mechanical Engineering, Vol. 22, pp. 2753-2757, 2008
                    12. F. Jie, “Acquisition and Application of S-N Curve for Fatigue Performance of Typical Components,” Machinery Design, Vol. 32, No. 32, pp. 71-73, 2015
                    13. X. Jin, Q. Zhong, and Y. Hong, “A New Model of Random Fatigue Crack Propagation,” Acta Mechanica Sinica, Vol. 32, No. 3, pp. 300-307, 2000
                    14. L. Zhang and X. Song, “Overview of Commonly Used Fatigue Reliability Analysis Methods,” Equipment Manufacturing Technology, No. 3, pp. 79-80, 2018
                    15. Y. Liu, F. Han, K. Yan, and X. Lu, “Reliability Analysis of Hierarchical System based on Bayesian Network,” Journal of Aeronautical Power, Vol. 32, No. 6, pp. 1385-1392, 2016


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