Research on Fatigue Life of Lifting Equipment Based on Nonlinear Cumulative Damage Theory

Research on Fatigue Life of Lifting Equipment Based on Nonlinear Cumulative Damage Theory

Li Chen, Keqin Ding

download PDF

Abstract. The lifting equipment is applied more and more extensively with the fast development of economy. The fatigue and safety problems of lifting equipment in service are more and more prominent. This paper presents a nonlinear fatigue damage and life assessment approach for existing lifting equipment and the nonlinear effects of the fatigue damage accumulation due to random dynamic stress spectrum. The stress spectrum monitoring data was analyzed by the modified four peak-valley values fast rain-flow counting method for fatigue analysis. By considering nonlinear effects, the calculation for cumulative damage and prediction for fatigue life of the lifting equipment’s hot region were calculated based on the nonlinear damage theory and the nominal stress method. The predicted fatigue damages are different when using the linear and nonlinear fatigue damage rules. According to the engineering application results, the real crack generation time is consistent with that of our estimation method, which demonstrates that our nonlinear prediction model and method for fatigue life are effective. The nonlinear damage theory is recommended for use in fatigue and damage prediction of lifting equipment in service.

Fatigue Life, Nonlinear Cumulative Damage, Lifting Equipment

Published online 2/20/2021, 6 pages
Copyright © 2021 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: Li Chen, Keqin Ding, Research on Fatigue Life of Lifting Equipment Based on Nonlinear Cumulative Damage Theory, Materials Research Proceedings, Vol. 18, pp 352-357, 2021


The article was published as article 43 of the book Structural Health Monitoring

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

[1] Nykänen T, H Mettänen, T Björk, A Ahola. (2016) Fatigue assessment of welded joints under variable amplitude loading using a novel notch stress approach. International Journal of Fatigue, 101: S0142112316304315.
[2] Durodola J F, N Li, S Ramachandra, A N Thite. (2017) A pattern recognition artificial neural network method for random fatigue loading life prediction. International Journal of Fatigue, 99: 55-67.
[3] Lee Y L, M W Lu, R C Segar, C D Welch, R J Rudy. (1999) Reliability-based cumulative fatigue damage assessment in crack initiation. International Journal of Materials & Product Technology, 14: 1-16.
[4] Shang D G, W X Yao. (1999) A nonlinear damage cumulative model for uniaxial fatigue. International Journal of Fatigue, 21: 187-194.
[5] Wu W F, T H Huang. (1991) A statistical nonlinear cumulative damage rule and fatigue life prediction under random loading. International Journal of Pressure Vessels & Piping, 47: 1-16.
[6] Gupta S, I Rychlik. (2007) Rain-flow fatigue damage due to nonlinear combination of vector Gaussian loads. Probabilistic Engineering Mechanics, 22: 231-249.
[7] Rychlik I, S Gupta. (2007) Rain-flow fatigue damage for transformed gaussian loads. International Journal of Fatigue, 29: 406-420.