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A Flexible HCF Modeling Framework Leading to a Probabilistic Multiaxial Kitagawa-Takahashi Diagram
- Source :
- Fatigue 2014 : 11th International Fatigue Conference, International Fatigue Conference (11; Melbourne; 2014), International Fatigue Conference (11; Melbourne; 2014), Mar 2014, Melbourne, Australia. pp.1372-1378, ⟨10.4028/www.scientific.net/AMR.891-892.1372⟩
- Publication Year :
- 2014
- Publisher :
- Trans Tech Publications, Ltd., 2014.
-
Abstract
- This article describes a flexible modeling framework which leads to the construction of a probabilistic, multiaxial Kitagawa-Takahashi diagram. This framework has been developed following experimental observations that clearly indicate that two independent fatigue damage mechanisms can be activated, at the same time, in metallic materials. Specifically, one damage mechanism is associated with crack initiation and the other with crack arrest. It is postulated that these damage mechanisms are more appropriately modeled using two different fatigue criteria or, more specifically, two completely different approaches to fatigue (i.e. a classical multiaxial fatigue criterion and a LEFM type criterion). Hence, the proposed modeling framework provides the possibility of combining any two suitable criteria, in a probabilistic framework based on the weakest link hypothesis and results in the continuous description of the Kitagawa diagram for any multiaxial stress state. It is shown that under certain conditions this approach is equivalent to the classical El Haddad approach to the short crack problem encountered in LEFM. However, the proposed framework is easily extended to multiaxial loading conditions. This modeling framework is demonstrated in detail via its application to multiaxial fatigue data for data taken from the literature.; International audience; This article describes a flexible modeling framework which leads to the construction of a probabilistic, multiaxial Kitagawa-Takahashi diagram. This framework has been developed following experimental observations that clearly indicate that two independent fatigue damage mechanisms can be activated, at the same time, in metallic materials. Specifically, one damage mechanism is associated with crack initiation and the other with crack arrest. It is postulated that these damage mechanisms are more appropriately modeled using two different fatigue criteria or, more specifically, two completely different approaches to fatigue (i.e. a classical multiaxial fatigue criterion and a LEFM type criterion). Hence, the proposed modeling framework provides the possibility of combining any two suitable criteria, in a probabilistic framework based on the weakest link hypothesis and results in the continuous description of the Kitagawa diagram for any multiaxial stress state. It is shown that under certain conditions this approach is equivalent to the classical El Haddad approach to the short crack problem encountered in LEFM. However, the proposed framework is easily extended to multiaxial loading conditions. This modeling framework is demonstrated in detail via its application to multiaxial fatigue data for data taken from the literature.
- Subjects :
- Engineering
Mécanique [Sciences de l'ingénieur]
business.industry
Diagram
General Engineering
Probabilistic logic
Kitagawa-Takahashi Diagram
Fatigue damage
Structural engineering
[SPI.MECA]Engineering Sciences [physics]/Mechanics [physics.med-ph]
Cast Aluminum Alloy
Stress (mechanics)
[SPI.MECA.STRU]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Structural mechanics [physics.class-ph]
[SPI.MECA.MEMA]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanics of materials [physics.class-ph]
Metallic materials
Crack initiation
Defect
High Cycle Fatigue (HCF)
Mécanique: Mécanique des matériaux [Sciences de l'ingénieur]
Mécanique: Mécanique des structures [Sciences de l'ingénieur]
business
Probabilistic framework
Probability
Subjects
Details
- ISSN :
- 16628985
- Database :
- OpenAIRE
- Journal :
- Advanced Materials Research
- Accession number :
- edsair.doi.dedup.....f94f62a2b03e2b29f9ad0d918fec64a3