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

Xin, H.; Correia, José A.F.O.; Veljkovic, M.; Zhang, Youyou; Berto, Filippo; De Jesus, Abílio M.P.

doi:10.1016/j.engfailanal.2021.105495

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

Journal article (2021)

Authors

H. Xin Concrete Structures - , Xi’an Jiaotong University

José A.F.O. Correia Universidade do Porto

M. Veljkovic Steel & Composite Structures -

Youyou Zhang Xi’an Jiaotong University

Filippo Berto Norwegian University of Science and Technology (NTNU)

Abílio M.P. De Jesus Universidade do Porto

Research Group

Steel & Composite Structures () (TU Delft)

DOI: https://doi.org/10.1016/j.engfailanal.2021.105495

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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Published Date

2021

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Engineering Structures

Research Group

Steel & Composite Structures

Abstract

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.

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