Summary
The present work aims to introduce a stochastic formalism to model the fatigue behaviour of materials such as overhead conductors or their constitutive strands. It is based on Negative
Read more Read lessBinomial Distribution and the general concept of Markov chain. This robust formalism is able to capture the uncertainty and discrepancy from experimental fatigue data and translate it into stochastic survival laws. It only depends on two main parameters: the probability p and the integer M. While M controls the output uncertainty, p models the mean lifetime to failure from the experimental data. Using an algebraic model such as the Basquin’s power law, p can be interpolated for any stress level, ensuring a wide applicability. It is suitable with constant as well as variable input fatigue loading to compute ready-to-use survival laws. It has been successfully applied on experimental fatigue data for aluminium strands from overhead conductors available in the literature. Such a formalism can be used in an asset management framework when little field observation is available making it difficult to conduct quantitative risk analyses.
Additional informations
| Publication type | Session Materials |
|---|---|
| Reference | B2_10711_2026 |
| Publication year | |
| Publisher | CIGRE |
| Country | France |
| Study committees | |
| File size | 1,009 KB |
| Price for non member | 30 € |
| Price for member | 30 € |
Authors
SAID Julien - RTE France; COLLOT Dorian - Mews Labs; LAURENT Vincent - Mews Labs
Keywords
Overhead conductors, fatigue damage, experimental data, reliability function
