Stochastic assessment of residual fatigue life of railway axles considering relevant critical factors

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081723%3A_____%2F25%3A00618253" target="_blank" >RIV/68081723:_____/25:00618253 - isvavai.cz</a>

Alternative codes found

RIV/00216305:26210/26:0197486

Result on the web

<a href="https://link.springer.com/article/10.1007/s40534-025-00376-6" target="_blank" >https://link.springer.com/article/10.1007/s40534-025-00376-6</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s40534-025-00376-6" target="_blank" >10.1007/s40534-025-00376-6</a>

Result language

angličtina

Original language name

Stochastic assessment of residual fatigue life of railway axles considering relevant critical factors

Original language description

Statistical distribution of residual fatigue life (RFL) of railway axles under given loading was computed using the Monte Carlo method by considering random variation of the selected input parameters. Experimental data for the EA4T railway axle steel, the loading spectrum, the press fit loading and the residual stress induced by surface hardening were considered in the crack propagation simulations. Usually, the material properties measured by tensile tests are considered to be the most informative source of material data. Under fatigue loading, however, the crack growth rates near the threshold are the most critical data. Two important influencing factors on these crack growth rates are presented: first, the air humidity and, second, the near-surface residual stress. The typical variation of these parameters in operation may change the RFL by one or two orders of magnitude. Experimentally obtained crack growth thresholds and residual stress profiles are highly affected by the used methodology. Therefore, the obtained input data may be located anywhere within a large scatter, while the experimenters are completely unaware of it. This can lead to dangerously non-conservative situations, e.g. when the thresholds are measured in a laboratory under humid air conditions and then applied to predictions of RFLs of axles operated in winter in low air humidity. This is significant for the topic of inspection interval optimisation. The results of experiments done on real 1:1 railway axles were close to the most frequent value found in the histogram of the numerically computed RFLs.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20301 - Mechanical engineering

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Railway Engineering Science

ISSN

2662-4745

e-ISSN

2662-4753

Volume of the periodical

34

Issue of the periodical within the volume

1

Country of publishing house

US - UNITED STATES

Number of pages

24

Pages from-to

1-24

UT code for WoS article

001440264700001

EID of the result in the Scopus database

2-s2.0-86000319427