Inspection Based Probabilistic Modeling of Fatigue Crack Progression. (2016)
- Record Type:
- Journal Article
- Title:
- Inspection Based Probabilistic Modeling of Fatigue Crack Progression. (2016)
- Main Title:
- Inspection Based Probabilistic Modeling of Fatigue Crack Progression
- Authors:
- Krejsa, M.
Kala, Z.
Seitl, S. - Abstract:
- Abstract: Attention to the fatigue cracks in steel structures and bridges has been paid for a long time. Fatigue crack damage depends on a number of stress range cycles. Three sizes are important for the characteristics of the propagation of fatigue cracks - the initial size, detectable size and acceptable size. The theoretical model of fatigue crack progression in paper is based on a linear fracture mechanics. When determining the required degree of reliability, it is possible to specify the time of the first inspection of the construction which will focus on the fatigue damage. Using a conditional probability, times for subsequent inspections can be determined. For probabilistic calculation of fatigue crack progression was used the original and new probabilistic methods - the Direct Optimized Probabilistic Calculation ("DOProC"), which uses a purely numerical approach without any simulation or approximation techniques. The algorithm of the probabilistic calculation was applied in the FCProbCalc code ("Fatigue Crack Probabilistic Calculation"), using which is possible to carry out the probabilistic modelling of propagation of fatigue cracks in a user friendly environment very effectively.
- Is Part Of:
- Procedia engineering. Volume 142(2016)
- Journal:
- Procedia engineering
- Issue:
- Volume 142(2016)
- Issue Display:
- Volume 142, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 142
- Issue:
- 2016
- Issue Sort Value:
- 2016-0142-2016-0000
- Page Start:
- 146
- Page End:
- 153
- Publication Date:
- 2016
- Subjects:
- probabilistic methods -- fatigue crack -- inspection of structure -- DOProC -- Direct Optimized Probabilistic Calculation -- FCProbCalc -- reliability assessment -- random variable -- probability of failure
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620.005 - Journal URLs:
- http://www.sciencedirect.com/science/journal/18777058 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.proeng.2016.02.025 ↗
- Languages:
- English
- ISSNs:
- 1877-7058
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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- 7319.xml