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dc.contributor.authorFojtík, František
dc.contributor.authorPapuga, Jan
dc.contributor.authorFusek, Martin
dc.contributor.authorHalama, Radim
dc.date.accessioned2021-03-09T13:02:51Z
dc.date.available2021-03-09T13:02:51Z
dc.date.issued2021
dc.identifier.citationMaterials. 2021, vol. 14, issue 1, art. no. 116.cs
dc.identifier.issn1996-1944
dc.identifier.urihttp://hdl.handle.net/10084/142931
dc.description.abstractThe paper describes results of fatigue strength estimates by selected multiaxial fatigue strength criteria in the region of high-cycle fatigue, and compares them with own experimental results obtained on hollow specimens made from CSN 41 1523 structural steel. The specimens were loaded by various combinations of load channels comprising push-pull, torsion, bending and inner and outer pressures. The prediction methods were validated on fatigue strengths at seven different numbers of cycles spanning from 100,000 to 10,000,000 cycles. No substantial deviation of results based on the selected lifetime was observed. The PCRN method and the QCP method provide best results compared with other assessed methods. The results of the MMP criterion that allows users to evaluate the multiaxial fatigue loading quickly are also of interest because the method provides results only slightly worse than the two best performing solutions.cs
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesMaterialscs
dc.relation.urihttp://doi.org/10.3390/ma14010116cs
dc.rights© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectmultiaxial fatiguecs
dc.subjecthigh-cycle fatiguecs
dc.subjectmultiaxial fatigue experimentscs
dc.subjectS-N curve approximationcs
dc.titleValidation of multiaxial fatigue strength criteria on specimens from structural steel in the high-cycle fatigue regioncs
dc.typearticlecs
dc.identifier.doi10.3390/ma14010116
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume14cs
dc.description.issue1cs
dc.description.firstpageart. no. 116cs
dc.identifier.wos000606311300001


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© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Except where otherwise noted, this item's license is described as © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.