journal article·2021-03

Stochastic approach to fatigue crack-growth simulation for a railway axle under input data variability

V. Giannella

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Abstract

Abstract Fatigue crack-growth of mechanical components is stochastic in nature and deterministic approaches do not allow for its complete study. Primary sources of this stochasticity can be: the inherent variability of material properties, the nature of service load fluctuations, the approximations assumed by the algorithms to calculate the main fracture parameters. This work reports a stochastic approach to the fatigue crack-growth in a railway axle under variability of different input parameters. The approach is used to predict the probability distribution of the residual fatigue life of a railway axle in presence of defects taking into account multiple sources of uncertainty.
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Research context

OpenAlex topics: Fatigue and fracture mechanics · Probabilistic and Robust Engineering Design · Material Properties and Failure Mechanisms

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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