Issue 38

J. Papuga et al., Frattura ed Integrità Strutturale, 38 (2016) 106-113; DOI: 10.3221/IGF-ESIS.38.14 106 Focussed on Multiaxial Fatigue and Fracture Systematic validation of experimental data usable for verifying the multiaxial fatigue prediction methods J. Papuga Ú12105 FME CTU in Prague, Technická 4, 166 07 Prague 6, Czech Republic papuga@pragtic.com , http://orcid.org/0000-0001-9569-4997 Evektor, spol. s r.o., Letecká 1008, 686 04 Kunovice, Czech Republic jpapuga@evektor.cz S. Parma Evektor, spol. s r.o., Letecká 1008, 686 04 Kunovice, Czech Republic origon@seznam.cz M. Růžička Ú12105 FME CTU in Prague, Technická 4, 166 07 Prague 6, Czech Republic milan.ruzicka@fs.cvut.cz A BSTRACT . The paper discusses some of the issues, the researchers interested in verifying various multiaxial fatigue limit estimation solutions are facing to. Even recently, newly proposed criteria have been or are tested on dozens of experimental inputs. Papuga in [1] pointed out, that applicability of the most often used test batch is limited and only half of these data items is worth using for such purposes. This paper extends that analysis by describing the weak points of various data sets used in this domain for validating new proposals on multiaxial fatigue limit estimates. The conclusion from the extensive analysis is that the researchers should adopt other test sets only if they very well know their background. K EYWORDS . Multiaxial fatigue; multiaxial fatigue limit; fatigue prediction; fatigue prediction validation; multiaxial fatigue limit experiment. Citation: Papuga, J. Parma, S., Růžička, M., Systematic validation of experimental data usable for verifying the multiaxial fatigue prediction methods, Frattura ed Integrità Strutturale, 38 (2016) 106-113. Received: 27.04.2016 Accepted: 20.06.2016 Published: 01.10.2016 Copyright: © 2016 This is an open access article under the terms of the CC-BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. I NTRODUCTION hen Papuga wrote the paper [1] on various multiaxial fatigue limit estimation methods and their validation, he referred to a set of 407 experimental items on various materials and obtained from different papers. At that moment, he cared little about the quality of the data obtained in that way. The reason for including a data item W