Measurement and estimation of probabilistic fatigue limits using Monte-Carlo simulations
This study developed a method based on Monte-Carlo simulations to measure and estimate probabilistic fatigue limits, particularly for the fatigue limit with large scattering data. As shown above, this method can use variable stress step sizes regardless of pairing observations. This Monte-Carlo simu...
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Veröffentlicht in: | International journal of fatigue 2017-02, Vol.95, p.229-235 |
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Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | This study developed a method based on Monte-Carlo simulations to measure and estimate probabilistic fatigue limits, particularly for the fatigue limit with large scattering data. As shown above, this method can use variable stress step sizes regardless of pairing observations. This Monte-Carlo simulation method is more flexible in test and could use fewer specimens to determine probabilistic fatigue limits.
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•A new test method for fatigue limit is proposed using Monte-Carlo simulations.•Variable stress step sizes can be used in this method.•No need to pair observations for this method.•Probabilistic fatigue limits can be determined by using fewer specimens.•The method is flexible in test, particularly for the large scattering data.
Based on Monte-Carlo simulation, a new method is proposed to measure and estimate probabilistic fatigue limits, particularly for the situation with large scattering data. Firstly, the appropriate distribution was determined from four possible distributions by checking its consistency with the fatigue physics and checking its fit goodness. Then, the test procedure of this method was illustrated, which could use variable stress step sizes regardless of pairing observations. Finally, the method was applied to determine the fatigue limit of A7N01S-T4 aluminum. The results exhibited that this method was more flexible in test and could determine fatigue limit using fewer specimens. |
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ISSN: | 0142-1123 1879-3452 |
DOI: | 10.1016/j.ijfatigue.2016.10.029 |