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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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Hoffbauer, Ln
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Topics
Publications (9/9 displayed)
- 2018RESEARCH AND VALIDATION OF GLOBAL MPP IN THE RELIABILITY ANALYSIS OF COMPOSITE STRUCTURES
- 2018Bayesian inference in validation of global MPP for the reliability analysis of composite structurescitations
- 2017A RBDO APPROACH FOR THE RELIABILITY ASSESSMENT OF COMPOSITE STRUCTURES
- 2017Reliability-based design optimization and uncertainty quantification for optimal conditions of composite structures with non-linear behaviorcitations
- 2013Uncertainty assessment approach for composite structures based on global sensitivity indicescitations
- 2012A variability study on the response of composite structures based on sensitivity indices
- 2010Reliability Assessment of Composite Structures with Multiple Failure Modes
- 2010Uncertainty propagation in inverse reliability-based design of composite structurescitations
- 2008From local to global importance measures of uncertainty propagation in composite structurescitations
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document
RESEARCH AND VALIDATION OF GLOBAL MPP IN THE RELIABILITY ANALYSIS OF COMPOSITE STRUCTURES
Abstract
The more realistic analysis of structure failures under uncertainties is associated with the use of probabilistic methods. One of the main problems in the structural reliability analysis of composite laminate structures is the possible existence of multiple MPP (Most Probable Failure Point). In this work, we propose a numerical inverse technique for the global MPP search as a function of the anisotropy of the laminated composites. A Bayesian method to estimate the probability of failure based on Monte Carlo simulation performs the results validation. The validation process demonstrates that the proposed methodology is adequate to estimate the probability of failure of the laminated composite structures.