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To explore the fatigue performance of 3D printed concrete, 216 3D printed specimens were subjected to bending fatigue tests, and the effects of different volume ratios ρf and lengths lf of steel fibers on the bending tensile strength and fatigue performance of the components were analyzed. Based on the two-parameter Weibull distribution theory, fatigue life calculation formulas were derived for different failure probabilities. The fatigue equations for different failure probabilities were proposed, and the influence of steel fibers parameters on the fatigue performance of components was further analyzed. The research results show that the fatigue failure process in 3D printed concrete components involves the crack resistance effect of steel fibers. During the process of crack generation, expansion, contraction, re-expansion, and re-contraction, the width, length, and depth of the crack constantly change. Microscopically, it involves continuous deterioration of the material's internal structure. The incorporation of steel fibers into 3D printed specimens can effectively prevent the generation and expansion of transverse cracks, significantly improving the flexural tensile strength, crack resistance and shrinkage limiting ability, and fatigue resistance of concrete components and transitioning their failure mode from sudden brittle failure to ductile plastic failure. The parameter ρf lf/df of steel fiber is an important factor affecting the flexural tensile strength and fatigue resistance of components. The fatigue number of the component increased by 252% when the ρf lf/df increased from 0 to 0.60 under the same stress ratio S=0.65, and the stress ratio increased by 9.15% when the ρf lf/df increases from 0 to 0.60 under the same fatigue number N=106. The research results are of great significance for further promoting the applications of 3D printing technology in the transportation field, promoting industry intelligence, and industrial development. © 2024, Central South University Press. All rights reserved.
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Journal of Railway Science and Engineering
ISSN: 1672-7029
Year: 2024
Issue: 8
Volume: 21
Page: 3237-3247
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ESI Highly Cited Papers on the List: 0 Unfold All
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30 Days PV: 8
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