Probabilistic Fatigue Crack Growth Prediction for Pipelines with Initial Flaws
This paper presents a probabilistic method to predict fatigue crack growth for surface flaws in pipelines using a particle filtering method based on Bayes theorem. The random response of the fatigue behavior is updated continuously as measured data are accumulated by the particle filtering method. F...
| Päätekijät: | , |
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| Aineistotyyppi: | Artikkeli |
| Kieli: | English |
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MDPI AG
2024-06-01
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| Sarja: | Buildings |
| Aiheet: | |
| Linkit: | https://www.mdpi.com/2075-5309/14/6/1775 |