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

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 m...

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Main Authors: J. Papuga, S. Parma, M. Ruzicka
Format: Article
Language:English
Published: Gruppo Italiano Frattura 2016-10-01
Series:Fracture and Structural Integrity
Subjects:
Online Access:https://www.fracturae.com/index.php/fis/article/view/1776
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author J. Papuga
S. Parma
M. Ruzicka
author_facet J. Papuga
S. Parma
M. Ruzicka
author_sort J. Papuga
collection DOAJ
description 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.
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institution Kabale University
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series Fracture and Structural Integrity
spelling doaj-art-953bc96b316840118330ea95a811f8e12025-01-03T00:40:24ZengGruppo Italiano FratturaFracture and Structural Integrity1971-89932016-10-011038Systematic validation of experimental data usable for verifying the multiaxial fatigue prediction methodsJ. PapugaS. ParmaM. RuzickaThe 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.https://www.fracturae.com/index.php/fis/article/view/1776Multiaxial fatiguemultiaxial fatigue limitfatigue predictionfatigue prediction validationmultiaxial fatigue limit experiment
spellingShingle J. Papuga
S. Parma
M. Ruzicka
Systematic validation of experimental data usable for verifying the multiaxial fatigue prediction methods
Fracture and Structural Integrity
Multiaxial fatigue
multiaxial fatigue limit
fatigue prediction
fatigue prediction validation
multiaxial fatigue limit experiment
title Systematic validation of experimental data usable for verifying the multiaxial fatigue prediction methods
title_full Systematic validation of experimental data usable for verifying the multiaxial fatigue prediction methods
title_fullStr Systematic validation of experimental data usable for verifying the multiaxial fatigue prediction methods
title_full_unstemmed Systematic validation of experimental data usable for verifying the multiaxial fatigue prediction methods
title_short Systematic validation of experimental data usable for verifying the multiaxial fatigue prediction methods
title_sort systematic validation of experimental data usable for verifying the multiaxial fatigue prediction methods
topic Multiaxial fatigue
multiaxial fatigue limit
fatigue prediction
fatigue prediction validation
multiaxial fatigue limit experiment
url https://www.fracturae.com/index.php/fis/article/view/1776
work_keys_str_mv AT jpapuga systematicvalidationofexperimentaldatausableforverifyingthemultiaxialfatiguepredictionmethods
AT sparma systematicvalidationofexperimentaldatausableforverifyingthemultiaxialfatiguepredictionmethods
AT mruzicka systematicvalidationofexperimentaldatausableforverifyingthemultiaxialfatiguepredictionmethods