Stochastic Modeling of Composite Materials

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This book is devoted to generating of non-periodic structures of two-fibre composite material. The first part deals with the well-known principles and laws of random processes. The whole introductory part tends to the application of random processes to the composites, e.g. anizotropy or spatial correlation. The most frequently used and well-known algorithms for generating non-periodic patterns are presented here. Next, the description of inner microstructure is discussed together with the methods of detection of complete spatial randomness. The theoretic part ends with detailed description of four algorithms developed by the author for generating random structures with non-constant diameters of fibres. In the second computational part the comparison of simulated samples obtained by new algorithms and real ones is presented. This comparison is made by mean of techniques of a descriptive statistic. Moreover, the assumptions of normality and homogeneity of samples are checked. These assumptions are usually necessary for next computations, e.g. ANOVA. In conclusion, the obtained results are summarized and the simulated samples generated by different algorithms are compared.

Autorentext

Tomá Pospíil was born in 1980 in Brno. He studied a mathematical engineering at Faculty of Mechanical Engineering at Brno University of Technology. He obtained his Ph.D. degree at the same place. He was awarded "The Award of Josef Hlávka's Foundation". His specialization is a stochastic modeling of a structure of composites and their description.

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Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783846597637
    • Sprache Englisch
    • Auflage Aufl.
    • Größe H220mm x B150mm x T10mm
    • Jahr 2011
    • EAN 9783846597637
    • Format Kartonierter Einband
    • ISBN 3846597635
    • Veröffentlichung 25.11.2011
    • Titel Stochastic Modeling of Composite Materials
    • Autor Tomá Pospí il
    • Gewicht 238g
    • Herausgeber LAP LAMBERT Academic Publishing
    • Anzahl Seiten 148
    • Genre Mathematik

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