Abstract
This paper presents a probabilistic analysis of a compilation of test data on the fatigue endurance of Aluminum Conductor Steel Reinforced (ACSR) cable–clamp systems. A brief review of the testing and measurement methods used to perform fatigue tests on conductors are described. Theoretical arguments based on the properties of extreme value distributions and random vibrations are presented which indicate that a Weibull S – N model is the most appropriate among models previously proposed in the literature for fatigue of ACSR cable – clamp systems. Predictions from the model are presented in terms of idealized stresses using bending amplitudes. Statistical tests are performed to verify that the Weibull distribution provides a good fit to the conductor fretting fatigue data. Validation datasets independent of the training dataset are used to evaluate the predictive ability of the model. The proposed probabilistic model is shown to be a reliable means of predicting the residual life of conductors subjected to aeolian vibrations for transmission line management and conductor replacement planning.
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This research project was funded by the Natural Sciences and Engineering Research Council (NSERC) of Canada, Hydro – Quebec, Reseau de Transport d’Electricite and InnovEE Canada.
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Thomas, O.O., Chouinard, L.E., Langlois, S. (2020). A Probabilistic Stress - Life Model for Fretting Fatigue of Aluminum Conductor Steel Reinforced Cable - Clamp Systems. In: Liyanage, J., Amadi-Echendu, J., Mathew, J. (eds) Engineering Assets and Public Infrastructures in the Age of Digitalization. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-48021-9_78
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