Stochastic modeling of a glass fiber reinforced polymer

Abstract : Stochastic modeling of a material microstructure is in general composed of multiple steps. First, geometric properties of the sample are measured by image analysis. Second, an appropriate stochastic model is chosen and model parameters are estimated from the geometric properties. Third, additional characteristics are computed on the data set and on realizations of stochastic models to evaluate the quality of the fitting. In this article, we show how to measure geometric properties of a fiber system, estimate parameters for two different fiber models, and evaluate the realizations with orientation covariance and tortuosity of the fibers. The considered stochastic models are the newly developed bended fiber model, composed of a force-biased packing of ball chains, and the classical cherry-pit cylinder model. We show the advantages and limitations of both methods.
Type de document :
Communication dans un congrès
Pierre Soille, Martino Pesaresi, and Georgios K. Ouzounis. 10th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing, ISMM 2011, Jul 2011, Verbania-Intra, Italy. Springer, 6671, pp.439-450, 2011, Lecture Notes in Computer Science. 〈10.1007/978-3-642-21569-8_38〉
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Soumis le : vendredi 14 juin 2013 - 18:27:14
Dernière modification le : vendredi 27 octobre 2017 - 17:36:02

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Hellen Altendorf, Dominique Jeulin. Stochastic modeling of a glass fiber reinforced polymer. Pierre Soille, Martino Pesaresi, and Georgios K. Ouzounis. 10th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing, ISMM 2011, Jul 2011, Verbania-Intra, Italy. Springer, 6671, pp.439-450, 2011, Lecture Notes in Computer Science. 〈10.1007/978-3-642-21569-8_38〉. 〈hal-00834392〉

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