Probabilistic strain-fatigue life performance based on stochastic analysis of structural and WAAM-stainless steels

Haohui Xin, José A.F.O. Correia*, Milan Veljkovic, Youyou Zhang, Filippo Berto, Abílio M.P. de Jesus

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

21 Citations (Scopus)
40 Downloads (Pure)


Wire arc additive manufacturing (WAAM) has increasingly attracted attention in the construction sector because of its ability to produce large metallic structural parts in short times. In this paper, Coffin-Manson and Morrow (CMM) equation is employed to compare the fatigue life of WAAM stainless steel with the structural steels S355 and S690. The results showed that the fatigue performance of structural steel is better than the WAAM stainless steel, the fatigue performance vertical to printing direction (WAAM-900) is better than it along the printing direction (WAAM-00). In addition, the fatigue cycle of the transition reversals of structural steel is much less than it of WAAM stainless. With the increasing the fatigue cycle, the maximum density of the strain amplitude ratio is gradually increased to 1.0. The probabilistic parameters of CMM equation were obtained by a stochastic analysis using Latin hypercube sampling strategies. The probabilistic strain-fatigue life behaviour obtained from the constant exponent sampling strategy is higher when compared with the varied exponent sampling strategy for both WAAM stainless and structural steels.

Original languageEnglish
Article number105495
Pages (from-to)1-20
Number of pages20
JournalEngineering Failure Analysis
Publication statusPublished - 2021

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.


  • Coffin-Manson and Morrow's (CMM) equation
  • Latin hypercube sampling strategy
  • Probabilistic fatigue behaviour
  • Structural steels
  • Wire arc additive manufacturing (WAAM) stainless steel


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