Open Access
Issue
MATEC Web Conf.
Volume 165, 2018
12th International Fatigue Congress (FATIGUE 2018)
Article Number 22033
Number of page(s) 5
Section Posters
DOI https://doi.org/10.1051/matecconf/201816522033
Published online 25 May 2018
  1. V. Kliman,: Prediction of the random load fatigue life distribution. Fatigue Design, ESIS 16, Edited by J. Solin et al, 1993, Mechanical Engineering Publications, London, p.241-224 [Google Scholar]
  2. M. Kepka, M. Kepka, jr., Parametric calculations of fatigue life of critical part of trolleybus rear axle. Procedia Engineering. 213, (2018), s. 227-238. [CrossRef] [Google Scholar]
  3. V. Chmelko, V. Kliman, M. Garan, In-time monitoring of fatigue damage. In Procedia Engineering. 101, (2015), p. 93-100 [CrossRef] [Google Scholar]
  4. V. Chmelko, M. Garan, Long-term monitoring of strains in a real operation of structures. proceedings of the 14th IMEKO TC10 Workshop, Milano (2016), p. 333-336 [Google Scholar]
  5. V. Kliman, Fatigue Life Estimation under Random Loading Using the Energy Criterion. Int. J. Fatigue, 7, no. 1 (1985), p. 39-44 [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.