Fracture and Structural Integrity e-ISSN 1971-8993 Open access
Miscellanea Vol. 10, No. 38 (2016)

Systematic validation of experimental data usable for verifying the multiaxial fatigue prediction methods

Author and affiliation details
DOI
10.3221/IGF-ESIS.38.14
Pages
Pages 106-113
Published

Abstract

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. 

Keywords

Article history

  1. ReceivedUntil the next stage: 0 days
  2. AcceptedUntil the next stage: 3 days
  3. Published

How to cite

APA

Papuga, J., Parma, S., & Ruzicka, M. (2016). Systematic validation of experimental data usable for verifying the multiaxial fatigue prediction methods. Fracture and Structural Integrity, 10(38), Pages 106–113. https://doi.org/10.3221/IGF-ESIS.38.14

IEEE

J. Papuga, S. Parma, and M. Ruzicka, “Systematic validation of experimental data usable for verifying the multiaxial fatigue prediction methods,” Fracture and Structural Integrity, vol. 10, no. 38, pp. Pages 106–113, 2016, doi: 10.3221/IGF-ESIS.38.14.

MLA

Papuga, J., et al. “Systematic validation of experimental data usable for verifying the multiaxial fatigue prediction methods.” Fracture and Structural Integrity, vol. 10, no. 38, 2016, pp. Pages 106–113. https://doi.org/10.3221/IGF-ESIS.38.14.

Chicago

Papuga, J., S. Parma, and M. Ruzicka. 2016. “Systematic validation of experimental data usable for verifying the multiaxial fatigue prediction methods.” Fracture and Structural Integrity 10 (38): Pages 106–113. https://doi.org/10.3221/IGF-ESIS.38.14.

Harvard

Papuga, J., Parma, S. and Ruzicka, M. (2016) ‘Systematic validation of experimental data usable for verifying the multiaxial fatigue prediction methods’, Fracture and Structural Integrity, 10(38), pp. Pages 106–113. doi: 10.3221/IGF-ESIS.38.14.

Vancouver

Papuga J, Parma S, Ruzicka M. Systematic validation of experimental data usable for verifying the multiaxial fatigue prediction methods. Fracture and Structural Integrity. 2016;10(38):Pages 106-113. doi:10.3221/IGF-ESIS.38.14

BibTeX

@article{papuga2016, author = {Papuga, J. and Parma, S. and Ruzicka, M.}, title = {Systematic validation of experimental data usable for verifying the multiaxial fatigue prediction methods}, journal = {Fracture and Structural Integrity}, year = {2016}, volume = {10}, number = {38}, pages = {Pages 106--113}, doi = {10.3221/IGF-ESIS.38.14}, url = {https://doi.org/10.3221/IGF-ESIS.38.14}, issn = {1971-8993} }

RIS

TY - JOUR AU - Papuga, J. AU - Parma, S. AU - Ruzicka, M. TI - Systematic validation of experimental data usable for verifying the multiaxial fatigue prediction methods JO - Fracture and Structural Integrity T2 - Fracture and Structural Integrity PY - 2016 DA - 2016/10/03 VL - 10 IS - 38 SP - Pages 106 EP - 113 DO - 10.3221/IGF-ESIS.38.14 UR - https://doi.org/10.3221/IGF-ESIS.38.14 SN - 1971-8993 ER -

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