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Virtual Testing and Predictive Modeling pp 137–185Cite as

Computational Approach Toward Advanced Composite Material Qualification and Structural Certification

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Abstract

The objective of this chapter is to perform accurate simulation of physical tests using multi-scale progressive failure analysis (PFA) and to simulate the scatter in the physical test results by using probabilistic analysis. The multi-scale analysis is based on a hierarchical analysis, where a combination of macro-mechanics and micro-mechanics is used to analyze material and structures in great detail. To calculate the correct micro-mechanical constituent properties for the multi-scale analysis, a three-step process is used: (1) calibration step, (2) verification step, and (3) probabilistic analysis step. The discussion in this chapter will focus mainly on the use of FAA composite material certification requirements and estimation of mechanical and fracture properties of composites; A-basis and B-basis allowable properties generation that are recognized as statistical in nature; and categories of damage tracking for composite structure under service.

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Author information

Authors and Affiliations

  1. Alpha STAR Corporation, Long Beach, CA, USA

    Frank Abdi & J. Surdenas

  2. North Grumman Corporation, El Segundo, CA, USA

    Nasir Munir

  3. Analytical Enterprises, Arlington, CA, USA

    Jerry Housner

  4. Department of Aerospace Engineering/National, Institute for Aviation Research (NIAR), Wichita State University, Wichita, KS, USA

    Raju Keshavanarayana

Authors
  1. Frank Abdi
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  2. J. Surdenas
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  3. Nasir Munir
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  4. Jerry Housner
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  5. Raju Keshavanarayana
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Corresponding author

Correspondence to Frank Abdi .

Editor information

Bahram Farahmand

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© 2009 Springer Science+Business Media, LLC

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Abdi, F., Surdenas, J., Munir, N., Housner, J., Keshavanarayana, R. (2009). Computational Approach Toward Advanced Composite Material Qualification and Structural Certification. In: Farahmand, B. (eds) Virtual Testing and Predictive Modeling. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-95924-5_6

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  • DOI: https://doi.org/10.1007/978-0-387-95924-5_6

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  • Publisher Name: Springer, Boston, MA

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  • Online ISBN: 978-0-387-95924-5

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