22 research outputs found

    Biogéographie de Madagascar = Biogeography of Madagascar

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    Au sein de la flore malgache comptant 12 000 espÚces environ, on a recensé 110 espÚces aromatiques, réparties dans 33 familles. Elles comprennent 58 espÚces autochtones dont 86% sont endémiques, et 52 espÚces introduites ; ces derniÚres sont originaires de diverses régions tropicales ; 60% provenant des terres orientales (Inde, Malaisie, Asie tropicale, Australie, etc.) ; 9% d'Afrique et 11% d'Amérique du Sud. La répartition de ces plantes aromatiques dans les deux grandes régions phytogéographiques (subdivisées en domaines) est présentée dans les résultats de ce travail. Les diverses affinités des taxons ayant des éléments aromatiques sont également discutées. (Résumé d'auteur

    Sensitivity analysis of simplified models of carbonation - extension in spatial variability -updating through Bayesian network

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    International audienceThe aim of this work is to handle simplified models of carbonation in a probablistic approach in order to propose an optimized maintenance strategy against steel corrosion. First of all, a synthesis of existing simplified models is presented. Three categories of models have been highlighted. Then a sensitivity analysis is proposed for a ranking of input parameters. Elasticity, linear correlation coefficient of Pearson, impact on the mean and the standard deviation of the models response are the indicators used. Given that corrosion concerns overall a structure surface, a methodology to take into account spatial variability through these models is described in this paper. The method used for describing spatial variability is Karhunen Loeve expansion. When inspections are carried out on the strucure, new data are available. Therefore, an updating process of the spatial variability parameters through bayesian network has been tested in this work. Results show that the updating process works correctly

    Sensitivity analysis of simplified models of carbonation - extension in spatial variability -updating through Bayesian network

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    International audienceThe aim of this work is to handle simplified models of carbonation in a probablistic approach in order to propose an optimized maintenance strategy against steel corrosion. First of all, a synthesis of existing simplified models is presented. Three categories of models have been highlighted. Then a sensitivity analysis is proposed for a ranking of input parameters. Elasticity, linear correlation coefficient of Pearson, impact on the mean and the standard deviation of the models response are the indicators used. Given that corrosion concerns overall a structure surface, a methodology to take into account spatial variability through these models is described in this paper. The method used for describing spatial variability is Karhunen Loeve expansion. When inspections are carried out on the strucure, new data are available. Therefore, an updating process of the spatial variability parameters through bayesian network has been tested in this work. Results show that the updating process works correctly

    Enhanced H 2

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    International audienceHydrogen uptake at 298 K and 30 bar in hybrid sorbents consisting of n-hexane confined in MIL-101 is found to be 22 times larger than in sole n-hexane. The enhanced solubility in MIL-101, found to be 3 times larger than in mesoporous silica of similar pore size, highlights the key roles played by surface chemistry and accessible surface area
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