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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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Antonio, Cac
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Topics
Publications (14/14 displayed)
- 2017Multiobjective optimization of mechanical properties based on the composition of adhesivescitations
- 2016Optimal design of adhesive composition in footwear industry based on creep rate minimizationcitations
- 2015Surface treatment effect in thermoplastic rubber and natural leather for the footwear industrycitations
- 2015Effect of the surface treatment in polyurethane and natural leather for the footwear industrycitations
- 2012A variability study on the response of composite structures based on sensitivity indices
- 2006A hierarchical genetic algorithm with age structure for multimodal optimal design of hybrid compositescitations
- 2004Preform optimal design in metal forging using genetic algorithmscitations
- 2004Optimisation of shape and process parameters in metal forging using genetic algorithmscitations
- 2002Optimal cutting conditions in turning of particulate metal matrix composites based on experiment and a genetic search modelcitations
- 2002A multilevel genetic algorithm for optimization of geometrically nonlinear stiffened composite structurescitations
- 2001Optimal drilling of particulate metal matrix composites based on experimental and numerical procedurescitations
- 2001Optimisation of cutting conditions in machining of aluminium matrix composites using a numerical and experimental modelcitations
- 2000A multilevel approach to optimization of bulk forming processes
- 2000An approach to reliability based design of composite structures under dynamic response
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document
A variability study on the response of composite structures based on sensitivity indices
Abstract
The problem of uncertainty propagation in composite laminate structures is studied. An approach based on the optimal design of composite structures to achieve a target reliability level is proposed. Using the uniform design method (UDM), a set of design points is generated over a domain centred at mean values of random variables, aimed at studying the space variability. The most critical Tsai number, the structural reliability index and the sensitivities are obtained for each UDM design point, using the maximum load. Using the UDM design points as input/output patterns, an artificial neural network (ANN) is developed based on supervised evolutionary learning. Finally, using the developed ANN-based Monte Carlo simulation procedure, the variability of the structural response based on global sensitivity indices is evaluated. The most important sources of uncertainty are identified. © Civil-Comp Press, 2012.