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Probabilistic modeling of the size effect and scatter in High Cycle Fatigue using a Monte-Carlo approach: role of the defect population in cast aluminum alloys
- Source :
- International Journal of Fatigue, International Journal of Fatigue, Elsevier, 2021, pp.106177. ⟨10.1016/j.ijfatigue.2021.106177⟩
- Publication Year :
- 2021
- Publisher :
- HAL CCSD, 2021.
-
Abstract
- In this study, a probabilistic model based on Monte-Carlo theory is applied to predict the fatigue behavior of cast aluminum alloys. The objective of the proposed approach is to investigate the effect of porosity (i.e. the defect size distribution and spatial density) on the fatigue strength and its associated scatter for uniaxial fatigue loads with the load ratio R = 0.1. The proposed model is applied to two cast aluminum alloys with very different defect characteristics. The results for these two alloys confirm that the model can be used to predict the average fatigue strength with a relative error
- Subjects :
- Cast aluminum alloys
Materials science
Population
Monte Carlo method
chemistry.chemical_element
Highly stressed volume
02 engineering and technology
Scatter in fatigue strength
Industrial and Manufacturing Engineering
[SPI.MAT]Engineering Sciences [physics]/Materials
Computer Science::Robotics
Casting defect population
Condensed Matter::Materials Science
0203 mechanical engineering
Size effect in fatigue
Approximation error
Aluminium
General Materials Science
Composite material
education
Porosity
Representative Volume Element (RVE)
education.field_of_study
Mechanical Engineering
Probabilistic model
Probabilistic logic
Statistical model
021001 nanoscience & nanotechnology
Fatigue limit
020303 mechanical engineering & transports
chemistry
Mechanics of Materials
Modeling and Simulation
0210 nano-technology
High cycle fatigue
Subjects
Details
- Language :
- English
- ISSN :
- 01421123
- Database :
- OpenAIRE
- Journal :
- International Journal of Fatigue, International Journal of Fatigue, Elsevier, 2021, pp.106177. ⟨10.1016/j.ijfatigue.2021.106177⟩
- Accession number :
- edsair.doi.dedup.....b3f628cb13f4187233ea62874ae2378b
- Full Text :
- https://doi.org/10.1016/j.ijfatigue.2021.106177⟩