Wire Rope Reliability Assessment based on Damage Mechanics

doi:10.23940/ijpe.19.06.p26.17441750

Abstract

Abstract: In order to estimate the instantaneous reliability during a periodic inspection of a lifting wire rope, analytical methods based on experimental results have been developed. Our approach is to study the influence of number of broken strands in the outer layer on the mechanical behavior of the wire rope. To do this, we have evaluated the damage of the wire rope through a static damage model used to predict the lifetime of the steel wire rope. Then, we estimate the reliability by the Weibull law. Finally, we linked the two parameters (damage and reliability) across the life fraction to find the correspondent reliability at each stage of the damage to conduct a predictive maintenance and change the wire rope at the right time.

Key words: non-rotating wire rope, fracture energy, reliability, life fraction, damage, static test

Achraf Wahid, Nadia Mouhib, Abderrazak Ouardi, Abdelkarim Kartouni, Hamid Chakir, and Mohamed ELghorba. Wire Rope Reliability Assessment based on Damage Mechanics [J]. Int J Performability Eng, 2019, 15(6): 1744-1750.

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References

[1] C. Asmâa, E. L. G.Mohamed, B. Abdelkader, and H. Abdelilah, “Estimated Loss of Residual Strength of a Flexible Metal Lifting Wire Rope: Case of Artificial Damage,” Recent Advances in Mechanical Engineering and Mechanics, pp. 160, 2014
[2] X. D. Chang, Y. X. Peng, Z, C. Zhu, S. Y. Zou, X. S. Gong, and C. M. Xu, “Effect of Wear Scar Characteristics on the Bearing Capacity and Fracture Failure Behavior of Winding Hoist Wire Rope,”Tribology International, Vol. 130, pp. 270-283, 2019
[3] A. Vorontsov, V. Volokhovsky, et al., “Prediction of Operating Time of Steel Wire Ropes using Magnetic NDT Data,” in Proceedings of OIPEEC Conference, Johannesburg, 2007
[4] A. Wahid, N. Mouhib, A. Kartouni,H. Chakir, “Energy Method for Experimental Life Prediction of Central Core Strand Constituting a Steel Wire Rope,”Engineering Failure Analysis, Vol. 97, pp. 61-71, 2018
[5] H. Mouradi, A. EI. Barkany,A. EI. Biyaali, “Reliability Estimation of Non-Rotating Ropes based on Cumulative Damage,” International Journal of Performability Engineering, Vol. 12, No. 5, pp. 471-480, 2016
[6] A. Meksem, M. EI. Ghorba, A. Benali,A. EI. Barkany, “Optimization by the Reliability of the Damage by Tiredness of a Wire Rope of Lifting,”Applied Mechanics and Materials, Vol. 61, 2011
[7] T. Amal, M. Meknassi, H. Chaffoui,M. Elghorba, “Combined Effect of Broken Rope Components and Corrosion on Damage Evolution Through Its Lifetime,” Journal of Materials in Civil Engineering, Vol. 29, No. 7, pp. 04017035, 2017
[8] A. K. Kaw, E. K. Kalu,D. Nguyen, “Numerical Methods with Applications: Abridged,” University of South Florida, 2009
[9] S. J. Ahn, “Least Squares Orthogonal Distance Fitting of Curves and Surfaces in Space,” Springer Science & Business Media, Vol. 3151, 2004
[10] N. Mouhib, H. Ouaomar, M. Lahlou1, and M. El Ghorba, “Characterization of Residual Energy Loss and Damage Prediction of 7-Wire Strand Extracted from a Steel Wire Rope and Subjected to a Static Test,” International Journal of Research, Vol. 2, No. 6, pp. 473-478, 2015
[11] J. McCool, “Using the Weibull Distribution: Reliability, Modeling, and Inference,” John Wiley & Sons, Vol. 950, 2012
[12] M. Chahid, et al., “Optimisation Fiabiliste De L'endommagement En Fatigue D'un Matériau Composite Fibres De Verre-époxyde-Cas Des Systèmes Séries Et Parallèles,” Matériaux & Techniques, Vol. 84, No.11-12, pp. 13-17, 1996

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