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Review and application of Rainflow residue processing techniques for accurate fatigue damage estimation

Citation Marsh, G., Wignall, C., Thies, P.R., Barltrop, V., Incecik, A., Venugopal, V. amd Johanning, L. Review and application of Rainflow residue processing techniques for accurate fatigue damage estimation, International Journal of Fatigue, 82 (3): 757-765, 2017. https://dx.doi.org/10.1016/j.ijfatigue.2015.10.007.
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Author(s) Marsh, G., Wignall, C., Thies, P.R., Barltrop, V., Incecik, A., Venugopal, V. amd Johanning, L.
Project partner(s) University of Edinburgh, E.ON Technologies Limited, University of Exeter
Publisher International Journal of Fatigue, 82 (3): 757-765
DOI https://dx.doi.org/10.1016/j.ijfatigue.2015.10.007
Abstract Most fatigue loaded structural components are subjected to variable amplitude loads which must be processed into a form that is compatible with design life calculations. Rainflow counting allows individual stress cycles to be identified where they form a closed stress strain hysteresis loop within a random signal, but inevitably leaves a residue of open data points which must be post-processed. Comparison is made between conventional methods of processing the residue data points, which may be non-conservative, and a more versatile method,which allows transition cycles to be processed accurately.; This paper presents an analytical proof of the method presented by Amzallag et al. The impact of residue processing on fatigue calculations is demonstrated through the application and comparison of the different techniques in two case studies using long term, high resolution data sets. The mostsignificance is found when the load process results in a slowly varying mean stress which is not fully accounted for by traditional Rainflow counting methods.

  • The residue which remains from the Rainflow algorithm is identified and discussed.
  • Damaging transition cycles are missed by conventional Rainflow methods
  • Analytical proof is presented to allow extended periods to be processed accurately.
  • The significance of the new approach is demonstrated with case study examples.
This work was partly funded via IDCORE, the Industrial Doctorate Centre for Offshore Renewable Energy, which trains research engineers whose work in conjunction with sponsoring companies aims to accelerate the deployment of offshore wind, wave and tidal-current technologies
Associated Project(s) ETI-MA2003: Industrial Doctorate Centre for Offshore Renewable Energy (IDCORE)
Associated Dataset(s) No associated datasets
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