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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Kala, Zdeněk
Brno University of Technology
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (7/7 displayed)
- 2023Comparison of crack propagation rates in selected structural components made from AISI 304 grades: Three-point bending testcitations
- 2022A Comparison of Shell and Solid Finite Element Models of Austenitic Stainless Steel Columns in Compression
- 2022Flexural buckling of stainless steel CHS columns: Reliability analysis utilizing FEM simulationscitations
- 2022Experimental and Numerical simulation of a Three Point Bending Test of a Stainless Steel Beam ; Experimentální a numerická simulace tříbodového ohybového testu nosníku z nerezové ocelicitations
- 2021Experimental and Numerical simulation of a Three Point Bending Test of a Stainless Steel Beamcitations
- 2020Estimating probability of fatigue failure of steel structurescitations
- 2017Random fields of initial out of straightness leading to column bucklingcitations
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article
Estimating probability of fatigue failure of steel structures
Abstract
<jats:p>The article deals with the analysis of failure probability of the effect of random factors in uencing fatigue crack propagation in a steel element under bending moment. The theoretical model of fatigue crack progression is based on linear fracture mechanics. When determining the required degree of failure probability, 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, subsequent inspection times are specified. The failure probability is examined using a fairly new sensitivity analysis subordinated to a contrast. The importance ranking of the input random variables to the failure probability is investigated. Fatigue properties of steel are taken from recent experimental research. Numerical results are obtained using the Monte Carlo simulation.</jats:p>