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A Novel Numerical Random Model of Short Fiber Reinforced Foams

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Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues (ICIC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5226))

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Abstract

Research on reinforced foams is getting heating, but the theoretic models of short fiber reinforced foams are still incomplete. This paper will discuss how a Random Sequential Adsorption Algorithm combines with a single tetrakaidecahedron of closed cell foams. As a result of research, a finite element numerical random analysis model will be set up. The model is used to compute the Young’s modulus, strain and stress of the short fiber reinforced foams. The simulation results show that it is useful for advancing theories of the reinforced foams.

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Author information

Authors and Affiliations

  1. College of Mathematics and Physics, Chongqing Institute of Technology, Chongqing, 400050, China

    Yong Wu, Bo Wang & Feiyu Han

Authors
  1. Yong Wu
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  2. Bo Wang
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  3. Feiyu Han
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Editor information

Editors and Affiliations

  1. Department of Automation, University of Science and Technology of China, 230026, Hefei, Anhui, China

    De-Shuang Huang

  2. Applied Computational Intelligence Laboratory, P.O. Box

    Donald C. Wunsch II

  3. Arlington, USA

    Daniel S. Levine

  4. Graduate School of Electrical Engineering, University of Ulsan, Korea, San 29, Mugeo-Dong, 680 - 749, Nam-Ku, Ulsan, Korea

    Kang-Hyun Jo

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© 2008 Springer-Verlag Berlin Heidelberg

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Wu, Y., Wang, B., Han, F. (2008). A Novel Numerical Random Model of Short Fiber Reinforced Foams. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2008. Lecture Notes in Computer Science, vol 5226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87442-3_41

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  • DOI: https://doi.org/10.1007/978-3-540-87442-3_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87440-9

  • Online ISBN: 978-3-540-87442-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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