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Analysis Idealization Control for Composite Materials with Nonlinear Behavior

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Computer Aided Design in Composite Material Technology III

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Abstract

Reliable modeling of the physical behavior of composite structures requires the balanced consideration of each of the analysis idealizations used to go from the physical description of the composite system to the numerical analysis models used to predict the behavior. Specification and categorization of the idealization steps associated with the analysis of nonlinear composite materials is complicated by both the complexity of the idealizations needed and the close interrelationships among the idealization steps.

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Authors and Affiliations

  1. Scientific Computation Research Center, Rensselaer Polytechnic Institute, 12180-3590, Troy, NY, USA

    M. S. Shephard & M. W. Beall

Authors
  1. M. S. Shephard
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  2. M. W. Beall
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Editor information

Editors and Affiliations

  1. Department of Mechanical Engineering, University of Delaware, 19716, Newark, DE, USA

    S. G. Advani

  2. Wessex Institute of Technology, Ashurst Lodge, S04 2AA, Southampton, UK

    W. R. Blain

  3. Faculteit Toegepaste Wetenschappen Dienst Analyse van Strukturen, Vrije Universiteit Brussels, Pleinlaan 2, B-1050, Belgium

    W. P. de Wilde

  4. Center for Composite Materials, University of Delaware, 19716, Newark, DE, USA

    J. W. Gillespie Jr.

  5. Department of Engineering Science and Mechanics, Virginia Polytechnic Institute and State University, 24061, Blacksburg, VA, USA

    O. H. Griffin Jr.

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© 1992 Computational Mechanics Publications

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Shephard, M.S., Beall, M.W. (1992). Analysis Idealization Control for Composite Materials with Nonlinear Behavior. In: Advani, S.G., Blain, W.R., de Wilde, W.P., Gillespie, J.W., Griffin, O.H. (eds) Computer Aided Design in Composite Material Technology III. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-2874-2_21

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  • DOI: https://doi.org/10.1007/978-94-011-2874-2_21

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-85166-781-9

  • Online ISBN: 978-94-011-2874-2

  • eBook Packages: Springer Book Archive

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