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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, Cc
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (20/20 displayed)
- 2023Maximisation of Bending and Membrane Frequencies of Vibration of Variable Stiffness Composite Laminated Plates by a Genetic Algorithmcitations
- 2023Swarm intelligence hybridized with genetic search in multi-objective design optimization under constrained-Pareto dominancecitations
- 2021Dimensional reduction applied to the reliability-based robust design optimization of composite structurescitations
- 2020Sobol' indices as dimension reduction technique in evolutionary-based reliability assessmentcitations
- 2019Robustness and reliability of composite structures: effects of different sources of uncertaintycitations
- 2019Reliability-based Robust Design Optimization with the Reliability Index Approach applied to composite laminate structurescitations
- 2019Global optimal reliability index of implicit composite laminate structures by evolutionary algorithmscitations
- 2018RESEARCH AND VALIDATION OF GLOBAL MPP IN THE RELIABILITY ANALYSIS OF COMPOSITE STRUCTURES
- 2018MULTI-OBJECTIVE OPTIMIZATION AIMING THE SUSTAINABLE DESIGN OF FRP COMPOSITE STRUCTURES
- 2018A displacement field approach based on FEM-ANN and experiments for identification of elastic properties of compositescitations
- 2017A RBDO APPROACH FOR THE RELIABILITY ASSESSMENT OF COMPOSITE STRUCTURES
- 2016IDENTIFICATION OF ELASTIC PROPERTIES OF ORTHOTROPIC COMPOSITES BASED ON A GENETIC ALGORITHM
- 2010Uncertainty propagation in inverse reliability-based design of composite structurescitations
- 2009A study on synergy of multiple crossover operators in a hierarchical genetic algorithm applied to structural optimisationcitations
- 2008From local to global importance measures of uncertainty propagation in composite structurescitations
- 2005Eliminating forging defects using genetic algorithmscitations
- 2004A study on milling of glass fiber reinforced plastics manufactured by hand-lay up using statistical analysis (ANOVA)citations
- 2004Drilling fiber reinforced plastics (FRPs) manufactured by hand lay-up: influence of matrix (Viapal VUP 9731 and ATLAC 382-05)citations
- 2004Optimization of metal forming processescitations
- 2004Experimental study of drilling glass fiber reinforced plastics (GFRP) manufactured by hand lay-upcitations
Places of action
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article
From local to global importance measures of uncertainty propagation in composite structures
Abstract
The influence of uncertainties of input parameters on output response of composite structures is investigated in this paper. In particular, the effects of deviations in mechanical properties, ply angles, ply thickness and on applied loads are studied. The uncertainty propagation and the importance measure of input parameters are analysed using three different approaches: a first-order local method, a Global Sensitivity Analysis (GSA) supported by a variance-based method and an extension of local variance to estimate the global variance over the domain of inputs. Sample results are shown for a shell composite laminated structure built with different composite systems including multi-materials. The importance measures of input parameters on structural response based oil numerical results are established and discussed as a function of the anisotropy of composite materials. Needs for global variance methods are discussed by comparing the results obtained from different proposed methodologies. The objective of this paper is to contribute for the use of GSA techniques together with low expensive local importance measures.